Top Data Scientist Jobs Openings in 2025

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About this role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.  You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.  Responsibilities: Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company You might be a good fit if you have: 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context 3+ years of experience deeply embedding in Product teams A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools A bias for action and urgency, not letting perfect be the enemy of the effective A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress A deep curiosity and energy for pulling the thread on hard questions Experience in turning open questions and data into concise and insightful analysis Highly effective written communication and presentation skills The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Director of Analytics & Research📍 Houston, TX (In-Person) | Full-TimeWe are a newly established single-family office in Houston with a mission to generate superior long-term returns. Backed by a young principal with a long investment horizon, we combine a broad mandate with advanced analytics and AI-driven processes to transform how investments are researched, underwritten, and managed. Our team brings experience from top roles across private markets, hedge funds, commodity trading, and global asset management. We are hiring a Director of Analytics & Research to play a pivotal role in shaping our investment strategy and risk framework. This role is ideal for a hands-on leader who wants to innovate at the intersection of technology, research, and investing. This role is based in Houston, TX, and relocation assistance is available. Why Join Us?This is a unique opportunity to build and lead a function at the center of the investment process. You’ll work directly with the CIO, influence decision-making, and apply cutting-edge data science and technology to private market and opportunistic investments.What You’ll DoLead research on macroeconomic, geopolitical, and sectoral trends.Design and manage risk frameworks, including stress-testing.Build dashboards for portfolio monitoring and performance attribution.Oversee data collection and ensure consistency of research inputs.Partner with the investment team to integrate insights into deal evaluationPresent findings to the CIO and Investment CommitteeWhat We’re Looking For10+ years’ experience in research, strategy, consulting, or investment managementStrong background in financial markets and economics (private capital experience a plus)Interest in applying AI/data science to investment researchComfort with tools like Python, SQL, NLP models, LLMs, and visualization platformsEntrepreneurial, collaborative mindset with strong communication skillsAn advanced degree and/or CFA are preferred but not required.What We OfferCompetitive salary and benefits packageAnnual performance-based bonusEmployee share plan tied to portfolio performanceProfit-sharing opportunitiesA chance to be part of a high-achieving, entrepreneurial team at an early stage

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.Key ResponsibilitiesTechnical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.Qualifications5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems requiredDeep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systemsProven ability to take models from research to production, including optimization for latency and cost at scaleExperience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systemsTrack record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authorityExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomesOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As an AI Tutor - Quantitative Finance, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced quantitative finance domains, with a focus on algorithmic investment strategies where your expertise can drive significant improvements in model performance.This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings). Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in quantitative finance. Preferred Qualifications Professional experience as a quantitative trader or analyst. Possesses experience with at least one publication in a reputable finance or economics journal or outlet. Teaching experience as a professor Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib) FRM (Financial Risk Manager) CQF (Certificate in Quantitative Finance) PRM (Professional Risk Manager) CAIA (Chartered Alternative Investment Analyst) CFA (Chartered Financial Analyst) Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions and product decisions as AI transforms the economy. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Note: We are primarily looking to hire in San Francisco but may consider candidates based in London Responsibilities Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives Design and conduct empirical research on AI's economic effects using novel data sources and privacy-preserving measurement systems Develop new methodological approaches for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Build and maintain relationships with academic institutions, policy think tanks, and other research partners Work cross-functionally with technical teams to improve our measurement infrastructure and data collection Translate research insights into actionable recommendations for both product decisions and policy discussions Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You may be a good fit if you  PhD in Economics or related field with a focus on labor economics, industrial organization, or technological change Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference Experience with: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Some Examples of Our Recent Work Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption The Anthropic Economic Index Economic Tasks Performed with AI: Evidence from Millions of Claude Conversations Clio: Privacy-Preserving Insights into Real-World AI Use Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$295,000—$345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.This will be a fixed-term contract that should run until March 29th, 2026. We operate a hybrid way of working, meaning that you'll split your time between Faculty's Old Street office and working from home depending on the needs of the project.Why now?We're in a period of significant growth, expanding our capacity to serve a diverse range of customers and apply AI to real-world problems with tangible impact. To meet this demand and maintain our high standards of delivery, we need skilled Senior Data Scientists to join us for a temporary period and own end-to-end project delivery, build strong customer relationships, and help us scale our business. What you'll be doing:As a Senior Data Scientist in our Applied AI team unit you will be leading project teams that deliver bespoke algorithms to our clients across a range of different sectors. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.This will be a fixed-term contract that should run until March 29th, 2026. We operate a hybrid way of working, meaning that you'll split your time between Faculty's Old Street office and working from home depending on the needs of the project.Why now?We're in a period of significant growth, expanding our capacity to serve a diverse range of customers and apply AI to real-world problems with tangible impact. To meet this demand and maintain our high standards of delivery, we need skilled Data Scientists to join us for a temporary period and own end-to-end project delivery, build strong customer relationships, and help us scale our business. What you'll be doing:As a Data Scientist in our Applied AI team unit you will be part of project teams that deliver bespoke algorithms to our clients across a range of different sectors. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an early member of our Data Science and Analytics team focusing on our API, you will play a critical role in driving the growth and optimization of Anthropic's API products that power thousands of developers and enterprises building with AI. You'll work at the intersection of product strategy, customer insights, and revenue optimization to help scale our API platform from millions to billions of API calls while maintaining our commitment to safety and reliability. You will partner closely with product, engineering, and go-to-market teams to understand developer and enterprise customer behavior, identify growth opportunities, and drive data-informed decisions that shape our API roadmap. This role offers a unique opportunity to influence how AI is deployed at scale across industries while working with cutting-edge language models and developer tools. Responsibilities: API Product Analytics: Deep dive into API usage patterns, developer adoption funnels, and enterprise customer behavior to provide actionable insights that drive product strategy and feature prioritization Revenue & Retention Analysis: Analyze customer lifecycle metrics, revenue retention patterns, and usage-based billing dynamics to identify opportunities for growth and reduce churn across our API customer base Developer Experience Optimization: Design and analyze experiments to improve API adoption, reduce time-to-value for developers, and enhance the overall developer experience across our platform ecosystem Customer Segmentation & Insights: Build sophisticated models to segment API customers by use case, company size, and behavioral patterns to inform targeted product development and go-to-market strategies Cross-Platform Analysis: Analyze customer behavior across Anthropic's ecosystem (1P API, Bedrock, Vertex AI) to understand platform preferences, switching patterns, and optimization opportunities Experimentation & A/B Testing: Design, execute, and analyze controlled experiments on API features, pricing strategies, and developer onboarding flows to drive measurable improvements in key metrics Predictive Modeling: Develop models to forecast API usage, predict customer growth potential, and identify early signals of expansion or churn risk Enterprise Customer Intelligence: Partner with sales and customer success teams to analyze enterprise customer usage patterns, measure feature adoption, and provide insights that inform account strategy You may be a good fit if you: Have 6+ years of experience in data science or analytics roles, with significant experience in API products, developer tools, or B2B SaaS platforms Have 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy Possess deep expertise in Python, SQL, and statistical analysis, with experience analyzing usage-based billing models and API consumption patterns Have experience with enterprise customer analytics, including customer lifecycle modeling, retention analysis, and revenue optimization Understand developer ecosystems and have worked with API metrics such as adoption rates, integration patterns, rate limiting impacts, and developer onboarding funnels Have a track record of designing and analyzing A/B tests and controlled experiments in technical product environments Excel at translating complex API usage data into clear, actionable insights for both technical and business stakeholders Demonstrate a bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress Have experience working with high-volume, real-time data systems and understanding the technical constraints that inform product decisions Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Background in analyzing multi-platform ecosystems (cloud providers, marketplaces, etc.) and understanding platform dynamics Experience with usage-based pricing models, API rate limiting strategies, and developer monetization Knowledge of enterprise sales cycles and experience supporting B2B sales teams with data insights Familiarity with cloud platforms (AWS Bedrock, Google Vertex AI) and their impact on customer behavior Experience building and maintaining data infrastructure for high-scale API products Background in customer research methodologies and survey design for developer communities The expected salary range for this position is:Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Remote position within Argentina & Uruguay Ryz Labs is looking for a Data Scientist to join one of our clients. This Data Scientist will sit within the Analytics team within the larger Product org. This is a high-impact role where you will get to partner with leaders to help define KPIs and own measurement and analysis of product metrics. This includes analyzing, testing and building dashboards to monitor tech product performance, as well as identifying new opportunities to improve KPIs and providing actionable recommendations to inform product roadmaps. Qualifications:- Proven experience in NLP and data science, working with unstructured or multimodal data- Strong ability to build and maintain data pipelines with validation and monitoring- Hands-on experience with NLP and LLM techniques such as embeddings, semantic similarity, and tokenization- Skilled in ML experimentation and evaluation metrics- Proficient in writing production-quality Python code- Experience with cloud-based AI development, preferably on AWS (e.g. S3, Lambda, Bedrock, DynamoDB) Nice-to-Have- Familiarity with LangChain, LangGraph, LangSmith- Experience with Streamlit for prototyping and tooling- Exposure to CI/CD workflows and unit testing best practices- Experience with FastAPI and cloud deployment Responsibilities- Parse and process unstructured and multimodal data to improve chatbot knowledge base- Build, monitor, and maintain data pipelines with validation and error handling- Apply NLP and LLM methods to build and optimize semantic search and generative modeling workflows- Design and run experiments and evaluations, using appropriate ML metrics- Write clean, scalable Python code to operationalize AI models and backend systems- Collaborate with product and engineering teams to deliver customer-facing features- Build CI/CD pipelines and unit tests to support deployment workflows- Use LangChain ecosystem LangGraph, LangSmith) for LLM orchestration- Prototype tools and interfaces using Streamlit You will:- Collaborate with Product Managers, Designers, and Engineers to define clear, actionable metrics that measure product success and adoption.- Develop and maintain dashboards to track performance trends of tech products (e.g., up-selling platform, pre-arrival verification flow) and ensure stakeholders have timely, reliable insights.- Conduct deep-dive analyses to diagnose changes in performance, uncover drivers, and answer high-priority business questions.- Identify new opportunities for product growth or optimization by analyzing user behavior, conversion funnels, and engagement patterns.- Present findings and recommendations to cross-functional partners, influencing product roadmaps and KPI improvements. About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - Every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.MagicSchool is forming a growth team to accelerate our expansion, and we need a data scientist who understands what drives user growth. You'll work at the intersection of product, marketing, and sales to uncover insights that help us activate, engage, and retain our rapidly growing educator community.This role combines rigorous analytics with growth strategy. You will build models that predict user behavior, design experiments that test growth hypotheses, and create the measurement infrastructure that guides our growth investments.Responsibilities:Growth Analytics & InsightsAnalyze user funnels to identify drop-off points and optimization opportunitiesBuild cohort analyses (or similar)Understand retention patterns and user lifecycleWork with product and marketing to develop segmentation strategiesCreate predictive models for user activation, conversion, and churnDesign dashboards that track growth metrics and experimentsExperimentation & TestingPartner with product and marketing teams to design A/B testsAnalyze experiment results with appropriate statistical methodsDocument learnings and build institutional knowledgeDevelop growth product roadmaps based on impact and effortMetrics & MeasurementDefine and instrument key growth metrics (activation, engagement, retention)Build regression-based product attribution models that connect user behaviors and characteristics to retention, health scores, and product engagement outcomesDevelop health scores and user quality metricsCreate early warning systems for user churnTrack and analyze both self-serve and sales-assisted conversion pathsCross-functional PartnershipCollaborate with engineering on data infrastructure and instrumentationSupport marketing with campaign analysis and audience selectionEnable sales teams with lead scoring and account intelligencePartner with product on feature impact analysisCommunicate insights to stakeholders at all levelsQualifications:5+ years in data science or analytics rolesGrowth team experience at a product-led companyExperience with growth, product, or marketing analyticsStrong SQL skills and proficiency in PythonUnderstanding of statistical testing and experimental designExperience with subscription or SaaS business modelsTrack record of driving business impact through analysisPreferred Experience:Understanding of product-led sales motionsKnowledge of both B2C and B2B analyticsFamiliarity with growth frameworks and best practicesExperience in EdTech or seasonal businessesBackground in two-sided marketplaces or network effectsTechnical Stack:SQL for data analysis and pipeline developmentPython for statistical analysis and modelingBI tools (Looker, Tableau, Metabase)Product analytics platforms (Amplitude, Mixpanel)Cloud data warehouses (BigQuery, Snowflake)Basic understanding of data engineering conceptsWhy Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood’s Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy. We partner with teams across Robinhood—including Product, Data, Engineering, Marketing, Finance, and Research. Our work powers strategic decision-making, enhances operational performance, and integrates into data science and AI pipelines across the company. As a Data Scientist, Analytics on the CIAI team, you will strengthen and expand Robinhood’s NPS and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors. You’ll contribute to both recurring programs and new technical projects that advance our ability to measure company performance and improve decision-making efficiently. The ideal candidate is able to wear both technical and strategic hats—bringing strong analytical and programming skills, paired with curiosity and business acumen. You should feel comfortable moving between deep technical work (statistics, modeling, programming) and business impact (generating insights, influencing decisions, driving change). This role is based in our Menlo Park, CA, New York, NY or Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Strengthen Robinhood’s NPS programs by supporting the full stack of data science work—from data pipelines and analytics to dashboarding, reporting, and deep-dive analysis. Drive innovation in the NPS space, including experimentation with AI- and LLM-based approaches to customer intelligence and feedback analysis. Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources. Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers. Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback. What you bring 2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research). Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field. Proficiency in SQL and Python, with hands-on experience in data wrangling, visualization, and analysis. Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus. Proven ability to translate complex data into clear, actionable insights that influence business decisions. Excellent attention to detail and ability to manage priorities and deadlines across multiple projects. Ownership mentality and self-starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes. Excellent communication skills, with the ability to engage audiences across technical and non-technical teams and influence decision-making at multiple levels. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$132,000—$155,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$116,000—$136,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$103,000—$121,000 USDClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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We are seeking an Operational Analysis Lead to drive the modeling, simulation, and analysis of Shield AI’s autonomous aircraft systems. This role is pivotal in evaluating the mission effectiveness, survivability, and operational impact of our next gen UAS and other autonomous platforms. You will work closely with engineering, product development, and defense stakeholders to inform design trade-offs, assess system performance, and optimize mission capabilities. This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI’s strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare. What you'll do: Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.Work closely with engineering teams to translate operational insights into design decisions and system improvements.Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, Python) to develop high-fidelity mission models.Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.Collaborate with DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.Identify emerging threats and operational challenges, ensuring Shield AI’s systems remain ahead of adversary capabilities. Required Qualifications:10+ years of experience in operational analysis, modeling & simulation (M&S), or military operations research.Expertise in military mission analysis, operational planning, and wargaming methodologies.Proficiency with AFSIM, STK, MATLAB, Python, or other M&S tools used for aerospace and defense applications.Deep understanding of air combat, ISR, electronic warfare, or autonomous systems in contested environments.Experience working with DoD stakeholders, warfighters, and government agencies to align capabilities with mission requirements.Strong analytical skills with the ability to interpret large datasets and translate findings into actionable insights.Excellent communication and briefing skills, with experience presenting to senior leadership, customers, and military personnel.Ability to work in a fast-paced, agile development environment with shifting priorities. Preferred Qualifications: Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and military operational testing.Experience integrating AI-driven decision-making algorithms into operational analysis frameworks.Prior military service or experience working with U.S. Air Force, Navy, or Special Operations Forces.Active Secret or Top-Secret clearance (or ability to obtain one).

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Ideal candidates have a deep understanding of the modern data stack and use AI tools for efficient, reliable delivery. Read more about AI native engineering teams here.You’ll be at the intersection of product, engineering, and growth, shaping how we make decisions, measure performance, and scale data infrastructure to support millions of Canadians.What you’ll doOwn the experimentation strategy by designing A/B and sequential tests, setting guardrails such as power analysis, SRM checks, and CUPED, and introducing bandits when appropriate.Build and ship personalization, ranking, and forecasting models—recommenders, propensity, churn and LTV that measurably improve activation, conversion, and retention.Translate deep-dive analyses into product changes by defining success metrics and counterfactuals and partnering with Product and Engineering to deliver impact.Architect a modern data platform by shaping the warehouse and feature store with robust schemas, data contracts, SLAs, and governance for both operational and analytical use cases.Support the ML lifecycle from problem framing and data acquisition to feature pipelines, training, evaluation, deployment, monitoring, and retraining.What you’ll needExpert SQL and Python with clean, modular, well-tested code and fluency across the PyData and ML stack (pandas, NumPy, scikit-learn, XGBoost or LightGBM, and deep learning as needed).Depth in experimentation and causal inference covering A/B design and analysis, sequential testing, CUPED, difference-in-differences, and uplift modelling with sound identification judgment.Strong product sense to turn ambiguity into measurable objectives, define North Star and guardrail metrics, and communicate trade-offs to executives and cross-functional partners.Proficiency in data visualization and BI tools such as Metabase and Streamlit, with storytelling that drives decisions rather than merely producing dashboards.Modern data platform and engineering rigour, including dbt and BigQuery, Snowflake, or Spark; familiarity with feature stores and real-time inference; and disciplined practices in version control, reviews, typing and tests, and secure cloud deployments.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleAs a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.In this role, you willConduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business.What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation:$250k - $300k + equity

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  The Company You’ll Join  Amperon is a technology company at the intersection of energy data and AI. Specializing in data management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon helps the full spectrum of power and utility companies to improve grid reliability, optimize asset economics, and accelerate decarbonization. With a commitment to grid modernization and decarbonization, Amperon is the forecasting company of the energy transition.  We bring the brightest minds from energy, security and technology in order to combat climate change and transition to clean energy solutions. We have an office in Houston, TX but are a remote-first company.    Our Strategy  Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!    About The Role  We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high-velocity machine learning from scratch.    You’ll be  Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.  Building advanced time series forecasting models at scale.  Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.  Continuously monitoring the training process and evaluating model performance on the validation set.  Deploying well-performing models into a production environment.  Analyzing historical data and real-time information to determine changes in energy consumption.    We Think This Role Would Be A Great Fit If You Have  Senior-level expertise with building machine learning algorithms.   Extensive experience with data collection and data processing.   Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling.   Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools.    Benefits & Perks  While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.  Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.  Competitive salary plus stock option package  Medical, dental and vision insurance   Annual company retreat   Flexible PTO policy  Remote-first  If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.  Salary: $120,000-$160,000  

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We’re looking for dedicated and ambitious data science leaders to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. As a Data Scientist  you'll be part of a high-impact, cross-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of Robinhood products and deliver exceptional value to our customers. This role is based in our [Menlo Park, CA] office(s), with in-person attendance expected at least [3/4/5] days per week.  At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and inform decision-making. Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes. Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 5-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$154,000—$181,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$135,000—$159,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$120,000—$141,000 USDClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who are able to commit to 16 hours per week at a CAD $40/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada is permitted. Performance incentives included!As an AI Data Trainer, you will:Label and Rank: Accurately label and rank machine learning data, with a focus on code-related content.Audit and Correct: Complete reading or coding-based tasks in an efficient and attentive manner.Perform Preference-Based Tasks: Evaluate and complete tasks, assessing which responses best conform to project guidelines.Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in coding tasks.Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on coding-related matters.Have Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data.You may be a good fit if you have:Subject matter expertise in software engineering - you have both studied in these fields and have practical experience applying them in a workplace.Proficient knowledge and understanding in either Python or JavaScript.Proficient knowledge in SQL (any dialect).Familiarity with bash/scripting, or another object-oriented language (C++/Java/Go/TypeScript) is a plus.Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails!High tolerance for repetitive and monotonous work.Ability to follow complex instructions, navigate ambiguity and work independently.Superb sense of urgency and time management.Curiosity about technology and a knack for tackling problems in creative ways.A reliable laptop and internet connection.The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Coding Assessment - You will receive a HackerRank coding assessment. Video Interview - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor AgreementAs an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships. This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives. Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth. Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization. Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences. Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI. Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making. Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies. Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth. Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness. Qualifications Have 6-8+ years of experience working as a data scientist or related role with growth focus. Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization. Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker). Have experience designing, implementing, and analyzing A/B tests and statistical experimentation. Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration. Have experience with data modeling and pipeline development (e.g., dbt, Airflow). Preferred Qualifications Previous experience at a high-growth startup or early-stage company in a growth-focused data science role. Hands-on experience with dbt and data engineering/analytics engineering. Experience with Snowflake and modern data stack tools. Are comfortable with Python for data analysis and automation. Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems). Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks. The cash compensation range for this role is $200,000 - $270,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.