Top Data Scientist Jobs Openings in 2025

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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.What you'll be doing:As a Senior Data Scientist in our Consumer and Services business unit you will lead project teams that deliver bespoke algorithms to our clients. 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.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.The roleAs a Data Scientist in Faculty’s Energy Transition & Environment team, you’ll apply cutting-edge AI to some of the most urgent challenges in the low-carbon transition.From helping National Grid manage a renewable-powered electricity system, to forecasting network flexibility for Northern Powergrid, reducing emissions from SGN’s gas network, and optimising routes for Drift’s energy-generating boats — our projects create measurable real-world impact.This is a hands-on, fast-paced role where you’ll turn complex problems into deployable data science solutions, working side-by-side with customers and multidisciplinary teams to deliver outcomes that matter.What you’ll be doingDesigning, developing, and deploying data science solutions — from exploration to production.Applying advanced statistical, analytical, and machine learning techniques, including Bayesian modelling and time-series forecasting.Translating business problems into solvable data challenges, shaping delivery approaches that maximise value.Working closely with engineers, designers, and product managers to ensure solutions are scalable, maintainable, and impactful.Communicating technical concepts clearly to both technical and non-technical audiences.Contributing to Faculty’s data science community by sharing knowledge, refining best practices, and supporting colleagues.What we’re looking forYou’ll have strong foundations in data science, a creative problem-solving mindset, and curiosity about the energy sector.Experience from quantitative academic research (e.g. STEM PhD) or professional data science roles.Programming experience — ideally in Python or transferable from other languages (e.g. R, MATLAB, C).Solid mathematical reasoning and knowledge of statistics and probability.Experience with machine learning algorithms and data manipulation libraries (e.g. NumPy, Pandas, Scikit-Learn).Strong communication skills and ability to present work confidently to stakeholders.Ability to follow a plan, meet deadlines, and adapt when challenges arise.Bonus skills:Prior commercial or customer-facing experience.Knowledge in NLP, Bayesian inference, computer vision, deep learning, or causal modelling.Experience building web apps or working with MLOps tooling.Why join Faculty?You’ll work alongside exceptional colleagues from diverse backgrounds, united by a passion for solving hard problems with AI. We offer:Complex, high-impact projects in the low-carbon transition.A culture of continuous learning, mentorship, and rapid professional growth.The opportunity to shape a high-growth business and make a tangible difference.At Faculty, you’ll develop faster than you thought possible — and see your work make a real-world impact.What 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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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:Join Crusoe Energy as a Staff Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably.What You’ll Be Working On:Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, financial forecasting, and product analysis to drive strategic decisions.Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency.Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development.Champion Data Quality & Infrastructure: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure.What You’ll Bring to the Team:Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling.Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures.Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively.Commitment to Quality: Show a proven track record and passion for data quality.Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects.Bonus Points (but not requirements):Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience.Experience building cloud infrastructure (e.g., AWS, GCP, Azure).Experience on a growing or early-stage data team, contributing to foundational development.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $200 per monthCompensation:Compensation will be paid in the range of $233,000 - $282,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our TechnologyMirage Announcement our proprietary omni-modal foundation modelSeeing Voices (technical paper) generating A-roll video from audio with MirageMirage Studio for generating expressive videos at scale"Captions: For Talking Videos” available in the iOS app storePress CoverageLenny’s Podcast: Interview with Gaurav Misra (CEO)Latest Fundraise: Series C AnnouncementThe Information: 50 Most Promising StartupsFast Company: Next Big Things in TechBusiness Insider: 34 most promising AI startupsTIME: The Best Inventions of 2024Our InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Key Responsibilities:Perform data analysis and exploration to uncover insights and trends related to product and user behavior.Design rigorous AB tests and evaluate the impact of product changes.Collaborate with cross-functional teams to define key metrics and establish data-driven goals for product experimentation.Develop and maintain analytical models to support full funnel analytics.Use statistical techniques to identify patterns and opportunities in large datasets.Create data visualizations and dashboards to effectively communicate findings and insights to stakeholders.Work closely with designers and engineers to drive data-informed decision-making throughout the product development process.Provide recommendations for improving user experience, conversion rates, and overall product performance based on data analysis.Stay up-to-date with industry trends and emerging technologies in data analytics and apply them to enhance analytical capabilities.Be a mentor to other team members and a data-driven thought leader to cross functional colleagues.Requirements:5+ years of proven experience as a data scientist or similar role, with a focus on analytics, AB testing, and product experimentation.Strong proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling.Expertise in statistical analysis, hypothesis testing, and experimental design for AB testing and product experimentation.In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling.Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations.Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business.Bonus Points: Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.Experience with full funnel analytics, including data collection, cleansing, transformation, and analysis.Familiarity with data warehousing concepts and experience working with large datasets and distributed computing frameworks.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Doordash DashPass subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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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.What You’ll OwnWe’re hiring a Data Scientist to design and implement advanced NLP workflows that turn large-scale, unstructured data into actionable insights about brand visibility. You will work on tasks such as text processing, entity extraction, clustering, and semantic search, as well as develop the analytical models that power these capabilities. Your work will power ML-driven capabilities in the AirOps platform and give customers deeper, data-backed insights into their brand visibility across AI-driven channels. ResponsibilitiesBuild and maintain NLP workflows for processing unstructured text, including embeddings, entity extraction, and classificationDevelop clustering, semantic search, and pattern detection methods to uncover insights in large datasetsAnalyze large, multi-source datasets to identify trends, measure brand visibility, and surface actionable insights for customersEvaluate and refine NLP techniques using quantitative metrics and real-world performance dataEnsure data quality through preprocessing, feature engineering, and rigorous validationCollaborate with data engineers to integrate NLP and analytical solutions into production pipelinesPartner with product and engineering teams to translate business needs into scalable, data-driven solutionsMonitor and iterate on performance of deployed solutions to ensure ongoing accuracy and relevanceYour Experience4+ years of experience in data science, applied NLP, or analytics, ideally in AI, SaaS, or data-intensive productsStrong fluency in Python and SQL, with experience manipulating and analyzing large datasetsHands-on experience with NLP libraries and frameworks such as Hugging Face, spaCy, or LangChain, and familiarity with LLM-based workflowsProven ability to extract insights from complex, multi-source datasets and communicate findings clearly to both technical and non-technical audiencesUnderstanding of clustering, semantic search, and related ML techniquesExperience with data warehouses and OLAP databases (e.g., Redshift, Snowflake, BigQuery, ClickHouse)Familiarity with data preprocessing, feature engineering, and validation techniques to ensure data qualityComfort operating in fast-paced, ambiguous environments where you ship quickly and iterateOur 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 AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleWe are seeking a detail-oriented and proactive Medical Data Annotation Specialist to oversee the planning, execution, and delivery of high-quality data annotation projects. This role is critical in ensuring that our datasets meet internal standards and support machine learning, AI development, and analytics initiatives.This position offers a unique opportunity to apply your expertise in clinician workflows and terminology.. By working on this, you'll be directly enhancing our AI algorithms and systems, making a significant impact on the future of healthcare technology. What You'll DoPlan, coordinate, and monitor data annotation projects from initiation to deliveryCollaborate: Work closely with the research team, product team, healthcare providers and UI/UX team to accurately identify the elements in need of annotation.Create detailed instruction sets and lead scaled annotation efforts with external annotation teams.Manage annotation workforce (contractors, vendors, or internal team), including assigning tasks, tracking productivity, and resolving blockersImplement and oversee quality assurance protocols to ensure annotated data meets accuracy standardsProactively identify project risks and take corrective actions as neededEnsure Compliance: Adhere to federal regulations, payer policies, and healthcare industry standards to ensure coding compliance.Maintain Confidentiality: Protect patient information in compliance with HIPAA regulations.What You'll Bring2+ years of experience in project management, data operations, or data annotation/labellingAnalytical Skills: Strong analytical abilities and keen attention to detail.Billing Knowledge: Understanding of medical billing processes and reimbursement methodologies.Educational Background: Medical training in areas such as pre-med, nursing, pharmacy, or international medical programs. US board credentials are not required.Technical Skills: Proficiency in electronic health record (EHR) systems and coding software.Ethics and Confidentiality: Commitment to maintaining professional ethics and confidentiality.Continuous Learning: Willingness to stay updated on industry changes and best practices.Initiative: Ability to work independently and assume individual initiative.Commitment to the RoleThis position is fully remote but requires a commitment to excellence and attention to detail. We value dedicated individuals who are passionate about healthcare and medical coding.This is a fully remote position but may involve occasional team meetings or training sessions.Additional InfoOur data annotation teams are a central part of the development of our AI products. All AI starts with good data. You are an essential part of our data strategy and the success of our company in new initiatives.Must be willing to travel up to 10%Hourly Employee NoticeMust be available to work a minimum of 20 hours per week, but may be required to work up to 40 hours per weekFlexibility and adaptability are essential in this role, as the workload and hours may change from week to weekLocation: This is a remote position within the United States.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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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.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. Key Areas of Responsibility (What You’ll Do) Scope and co-develop production-level data science projects with our customers across different industries and use cases Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support Provide strategic input to the customer and account teams that help make our customers successful. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams to enhance Dataiku’s functionality Experience (What We’re Looking For): Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences Over 5 years of experience with Python and SQL Over 5 years of experience with building ML models and using ML tools (e.g., sklearn) Experience with Consulting and/or Customer-facing Data Science roles Familiarity with data visualization in Python, R  Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Bonus points for any of these: Experience with Data Engineering or MLOps Experience developing WebApps 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 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, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by ensuring we strategically manage and scale our computing resources to meet research and product needs. In this unique company, technology, and moment in history, your work will be critical to ensuring our infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale to the world. You will work closely with infrastructure engineers, product, and finance to understand current utilization patterns, identify optimization opportunities, and build models to forecast future capacity requirements. 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: Analyze infrastructure and utilization data to define key metrics, understand trends, set team goals, provide actionable insights and identify optimization opportunities. Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products. Develop models to forecast future capacity needs based on business growth projections and product roadmaps. Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations. Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible. You might be a good fit if you have: 6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute. Knowledge of cloud based billing systems and efficiency optimization. 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 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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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? NICE Actimize is currently seeking an experienced Data Scientist to join our dynamic and growing AML Analytics Services team. How will you make an impact? Perform analysis to support the deployment of AML analytical models Improve the quality and actual implementation of computational algorithms and tools Optimize the performance of NICE Actimize AML products and improve customers’ experience with our AML solutions. Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved. Develop and enhance our solution-specific scores. Should be able to deliver the work within timelines. Measure the quality of the analytical performance of AML Products. Help maintain and improve model development methodologies/practices. Have you got what it takes? Total experience : 2 - 4 years Strong data analytical skills and well versed with statistical concepts. Strong experience with using SQL and EXCEL. Understanding of database concepts, data integration. Strong programming skills in Python version 3.7 and above and ability to rapidly learn new programming tools. Experience of building and deploying classification, regression, clustering machine learning models at an enterprise level. Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients. Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Hands-on experience with AWS Cloud computing services such as Sage maker, EC2. Strong commitment to quality. Customer facing experience – a plus Knowledge of KNIME – a plus. Exposure to MLOps – a plus. Knowledge of Optimization analytics. Knowledge of Data Robot – a plus. Well versed with deploying ML Models using Containers. Experience in full AI/ML life cycle from model development, training, deployment, testing, refining and iterating. Passion for financial data and problem solving, understanding that financial data comes in different formats and sizes. Experience in building robust data pipelines – a plus. Should be experienced in building Enterprise Machine Learning models. Highly experienced in handling customer interactions. Experienced in creating standard model development reports   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8212 Reporting into: Tech Manager Role Type: Individual contributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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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 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 DoConduct deep-dive analyses to uncover user behaviours, friction points, and growth opportunities.Design and analyze A/B tests to optimize user experience and conversion rates.Develop and maintain high-leverage dashboards and self-serve reporting tools for product and business teams.Leverage statistics and machine learning to provide predictive insights and enhance personalization.Help build and maintain a unified data warehouse that supports both operational and analytical use cases.What You'll NeedProficiency in SQL and Python, with a track record of building clean, reusable analytical code.Familiarity with experimentation frameworks, causal inference, and statistical modelling.Strong data visualization skills and experience with BI tools (e.g. Metabase and Streamlit).Exceptional collaboration and communication skills, thriving in low-churn teams focused on excellence and innovation.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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Senior Data ScientistWashington, DC (1x/week in office, Preferred) | Remote within 2 to 3 hours of DC (OK) | 🕐 Full-Time Organization: Surgical Data Science Collective (SDSC)You’re not just looking for another data science job. You want to build something that matters—from the ground up.At SDSC, we’re combining AI, surgical video data, and human expertise to reshape the future of surgical care. And we need a founding Senior Data Scientist to help lead the way.This is a rare opportunity to build the data science foundation for a mission-driven organization working at the intersection of computer vision, medical research, and real-world impact.What you’ll do:Own the end-to-end data science pipeline—from cleaning surgical video data to surfacing insights that shape patient careCollaborate with ML engineers to support computer vision models in real surgical environmentsPartner with researchers to translate complex needs into structured, high-quality datasetsAnalyze surgical procedure data and imaging to improve outcomes and drive innovationBuild the data infrastructure and workflows to scale data science across SDSCPresent your insights clearly to both technical and clinical stakeholders What makes you a fit:5+ years in data science (bonus for health tech, research, or imaging-heavy work)Comfortable in startup environments—you see ambiguity as opportunityFluent in Python, SQL, MongoDB, and AWS PostgresSkilled at defining projects from scratch and seeing them throughStrong grasp of ML principles—especially around supporting computer vision modelsMaster’s degree in Data Science, CS, Stats, or related field (PhD = extra credit)Strong communicator who can translate complexity into clarity Why join SDSC?Own your space. You’ll be our first full-time data scientist—with real influence from day oneMake it matter. Your work supports research that directly improves surgical techniques and patient outcomesWork with top-tier minds. Collaborate with surgeons, scientists, and AI experts in a deeply cross-functional roleFlex where you work. We’re DC-based, but open to remote for the right EST-aligned candidateGrow as we grow. Leadership opportunities and team-building are on the horizonReady to help shape the future of surgical AI—from the inside out? Apply now and help us turn data into life-changing insights.About us: The Surgical Data Science Collective (SDSC) is a nonprofit on a mission to unlock the power of surgical data. We bring together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools. Using AI, we help uncover insights that improve technique, sharpen decision-making, and elevate patient care. From smarter metrics to secure video libraries, we give surgical teams the tools to ask better questions—and find better answers. Because when surgeons get better, patients do too.

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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 supporting Claude Code, you will play a critical role in shaping the future of AI-powered developer tools. Claude Code is Anthropic's command line tool that enables developers to delegate coding tasks directly to Claude from their terminal, representing a new frontier in human-AI collaboration for software development. You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience. This role offers a unique opportunity to influence the development of cutting-edge AI tooling while working with some of the most sophisticated language models in the world. You'll help establish data foundations for a rapidly growing product in the emerging AI-assisted development space. Responsibilities: Deep dive into how developers use Claude Code across different programming languages, project types, and workflows to provide insights that inform product strategy and feature development Design and implement metrics to quantify how Claude Code affects developer productivity, code quality, and development velocity across different use cases and skill levels Analyze patterns in human-AI collaboration within coding workflows, identifying opportunities to improve the handoff between developers and Claude for more effective task delegation Develop hypotheses about product changes, design controlled experiments with developer users, and analyze results to guide feature prioritization and development Identify friction points in the Claude Code user journey and provide data-driven recommendations to improve onboarding, retention, and long-term engagement Build robust measurement frameworks to understand CLI adoption patterns, feature utilization, and user segmentation across different developer personas and organizations Partner with engineering to build experimentation capabilities tailored to developer tools, accounting for the unique challenges of measuring productivity and satisfaction in coding workflows Establish foundational data practices and infrastructure to support rapid iteration and decision-making as the Claude Code product scales You may be a good fit if you: Have 5+ years of experience in data science or analytics roles with significant focus on product analytics Have experience working with developer tools, IDEs, command line interfaces, or other technical products used by software engineers Are passionate about AI-assisted development and excited about the potential for AI to enhance developer productivity and creativity Have expertise in Python, SQL, and data visualization tools, with comfort working in command line environments Have experience measuring productivity, engagement, and satisfaction metrics for technical users or B2B products Possess strong instincts for what drives developer adoption and retention of technical tools Have a bias for action and pragmatism, comfortable making decisions with incomplete information in a fast-moving environment Thrive in ambiguity and take initiative to create clarity and drive progress on undefined problems Have experience turning complex technical usage patterns into clear, actionable insights for product and engineering teams Demonstrate exceptional written communication skills and ability to present findings to technical and non-technical stakeholders Strong candidates may also have: Experience with software development workflows, version control systems, and common developer tools Background in developer experience research or working with technical communities Familiarity with AI/ML model outputs and experience analyzing human-AI interaction patterns Experience with command line tools, terminal-based workflows, and developer productivity measurement Understanding of software development lifecycle metrics and engineering productivity frameworks Experience working at developer-focused companies or on products targeting software engineers Knowledge of programming languages and ability to understand code-related usage patterns Deadline to apply: None. Applications will be reviewed on a rolling basis. 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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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.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What 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 usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doSierra has built a strong data foundation—now we're looking to grow our Data Science team to unlock its full potential. You’ll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you’ll develop predictive models, build experimentation capabilities, and embed data-driven decision-making across the company. This is a unique opportunity to shape Sierra’s data future and make a lasting impact on AI-powered customer interactions. Conduct deep-dive analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies.Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage.Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly.Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics.What you'll bringProven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch.Curiosity & Customer-centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud-based platforms (e.g., AWS, GCP). Strong analytic skills: Experience with large-scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data).Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests.Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non-technical stakeholders.Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life.Even better...Experience working with large language models (LLMs), conversational AI, or agent-based systems.Familiarity with building or improving data platforms for advanced analytics.Exposure to product analytics or customer experience research in a SaaS or consumer-facing tech company.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About the roleAs a Data Scientist at Greenlite, you'll assess and improve the quality of AI systems that help banks and fintechs fight financial crime at a massive scale. You'll work directly with our biggest customers—institutions serving over a billion people—establishing metrics, guidelines, and evaluation frameworks that ensure our AI agents meet the highest standards for accuracy and regulatory compliance. Real customer needs inform your data science work and directly impact our AI quality, so you need to build robust evaluation systems, work effectively with engineering and product teams, understand regulated environments, and adapt quickly.This is a core data science role on our Engineering team. You're an exceptional data scientist who understands that financial institutions need rigorous quality assessment for AI systems operating in highly regulated environments. You'll establish evaluation metrics, design feedback loops, and create guidelines that ensure our LLM outputs meet compliance standards and customer expectations. You're not just analyzing data—you're defining quality standards based on what our most sophisticated customers need for reliable AI-powered compliance operations.Please note: We work in person Monday through Friday in our SF office.What you'll doMonth 1:Master our AI agent platform and understand complex financial compliance quality requirementsShadow experienced team members on LLM output evaluation and customer quality assessmentsEstablish your first evaluation metrics for compliance use cases like sanctions screening and AML investigationsMonth 2:Own end-to-end quality assessment frameworks for major bank and fintech AI deploymentsBuild comprehensive evaluation dashboards and statistical analysis of LLM performance across customer environmentsPartner with engineering and product teams to establish quality guidelines and improvement recommendationsBecome the go-to expert for AI quality assessment in financial compliance applicationsOngoing:Design and implement rigorous evaluation frameworks for LLM outputs in highly regulated environmentsEstablish metrics and guidelines that ensure AI agent responses meet regulatory compliance and customer quality standardsLead statistical analysis of AI performance trends, failure modes, and improvement opportunities across customer deploymentsCollaborate with Engineering, Customer, and Product teams as the AI quality expertWhat we're looking for3-5 years of industry experience in data science, AI evaluation, or machine learning with focus on quality assessmentBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or other quantitative fieldStrong proficiency in Python and experience with statistical analysis libraries (pandas, numpy, scipy, matplotlib)Experience with LLM evaluation techniques, prompt analysis, and AI system quality assessmentStrong statistical knowledge including experimental design, hypothesis testing, and performance measurementExperience with SQL, data visualization, and building dashboards for stakeholder communicationUnderstanding of evaluation metrics, A/B testing, and statistical significance in AI system assessmentBonus points:Experience with LLM evaluation frameworks, prompt engineering assessment, or AI safety metricsBackground in financial services, compliance, or other highly regulated industriesExperience with statistical analysis of text data, content quality assessment, or human-AI interaction evaluationFamiliarity with regulatory requirements for AI systems in banking or financial servicesPrevious experience establishing quality standards and evaluation processes for AI/ML productsAbout youYou're a data scientist who thrives at the intersection of statistical rigor and AI quality assessment. You understand that practical data science in AI means establishing reliable metrics and evaluation frameworks that ensure LLM outputs meet the accuracy and compliance standards that regulated industries demand. You're comfortable balancing technical analysis with clear communication of quality insights, and you want your evaluation expertise to have a direct, measurable impact on how financial institutions trust and adopt AI to fight crime.Compensation & BenefitsComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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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 Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security 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.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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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What's in it for you? Data Scientist Actimize Premier is seeking a  Data Scientist / Analyst (Statistics, Applied Mathematics- Mandatory) to design,develop, and optimize cutting-edge algorithms and machine learning solutions for financial fraud prevention and anti-money laundering (AML) applications. You will work on behavioral analytics and machine learning models while mentoring junior team members and collaborating closely with cross-functional teams. This role provides an opportunity to contribute to innovative, impactful products at the forefront of financial crime prevention technology. Key Responsibilities: Develop and optimize advanced machine learning models and algorithms for fraud detection and AML applications. Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment. Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions. Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions. Explore and apply emerging technologies such as Generative AI to enhance fraud detection capabilities. Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions. Perform statistical analysis, data mining, and visualization using tools like Python or R. Drive innovation by researching and integrating the latest advancements in data science and machine learning. Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis. Skills and Experience Required: Educational Background: Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field. Professional Experience: 2 –4 years of experience in algorithm development, statistical analysis, and machine learning. Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention, AML, or similar domains. Technical Expertise: Proficiency in Python for statistical analysis, data modeling, and visualization. Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud). Solid understanding of databases and SQL (e.g., MySQL). Exposure to generative AI techniques and their applications in data science. Soft Skills and Teamwork: Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members. Excellent problem-solving skills with a pragmatic approach to balancing theory and practical application. Effective communication skills to collaborate across teams and present complex ideas to stakeholders. Resourceful, adaptable, and passionate about financial crime prevention technologies.   Preferred Qualifications: Knowledge of user behavior modeling and Bayesian statistics. Experience in natural language processing (NLP). Familiarity with tools and libraries for generative AI (e.g., Transformer models). Understanding of the financial crime prevention domain and its associated challenges. Why Join Us? At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies.  Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8013 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About the TeamOur infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.About the RoleAs a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.Develop forecasting and optimization models to support infra planning and resource allocation.Partner with engineering, research, and product teams to shape infrastructure strategy through data.Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.You might thrive in this role if you have:5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research orgExperience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground upA strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisionsExcellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholdersA strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffsYou could be an especially great fit if you have:Proven track record of operating as a data partner in large scale backend systemsComfortable navigating fast-paced execution while also anchoring decisions in long-term impactStrong programming background, with ability to run simulations and prototype variantsExperience in NLP, large language models, or generative AIAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Responsibilities Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related field 2+ years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)  Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred Skills & Qualifications Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows.  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Your impactHandshake is looking for a Data Scientist, Product Analytics to help shape how we measure and grow the impact of our products across students, employers, and university partners. In this role, you’ll partner with product, engineering, and analytics stakeholders to deliver actionable insights and experimentation frameworks that guide key product and growth decisions. You’ll be embedded in our Data team and report to the Senior Manager of Data & Analytics. Your roleAs a Data Scientist at Handshake, you will:Collaborate with product managers and engineers to identify key metrics and drive analytics workstreamsAnalyze user behavior to uncover trends, patterns, and opportunities for product improvementContribute to experiment design, implementation, and analysis to guide feature developmentBuild and maintain dashboards and reports to support ongoing tracking and decision-makingHelp define and refine data models in partnership with Analytics EngineeringTranslate complex data findings into clear, actionable insights for cross-functional stakeholdersYour experience3+ years of professional data science experienceExperience using data to support product development, including working with cross-functional teamsProficiency in SQL and comfort working in Jupyter-style notebooks using Python or RAwareness with A/B testing and experimentation best practicesAbility to conduct analysis across user cohorts, funnels, and time-series datasetsRobust written and verbal communication skills, especially in summarizing insights for non-technical audiencesExperience with BI tools such as Looker, Hex, or ModeBonus areas of expertiseExposure to product analytics in a multi-sided marketplaceKnowledge with dbt or similar data modeling frameworksPrior experience contributing to data-informed product strategiesAbout usHandshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 3x a week across all offices.🤝 Referral bonus to reward you when you bring great talent to Handshake.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.