Top Data Scientist Jobs Openings in 2025

false

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 teamBringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratize health for all.About the role:As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence. You’ll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing:Mapping the end-to-end data science approach and designing the associated software architecture for projectsDriving the technical scoping and feasibility assessment of new projectsBuilding strong client relationships by acting as a technical advisor and shaping the direction of current and future engagementsDelivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-makingSetting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projectsWho we're looking for:You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms.You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences.You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.The Interview ProcessTalent Team Screen (30 minutes) Take Home Technical Test Technical Interview (90 minutes) Commercial Interview (60 minutes)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.

false

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a 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 the Role:Crusoe’s People Team is building the foundation of a world-class People Analytics function. The Director, People Analytics & Insights will architect the systems, data flows, and analytical frameworks that define how we measure and understand our workforce. This leader will integrate data across HR, Finance, Recruiting, and Operations to create a single source of truth for headcount, performance, and engagement, then evolve that foundation into actionable insights and predictive intelligence.This is both a builder and operator role: someone who can design scalable architecture, manage a growing team of analysts, and build trust with executives and business partners across the organization by turning data into narrative. We are looking for a storyteller who brings workforce insights to life and connects them to business impact.What You'll Be Working On:Build the People Analytics FoundationDefine the data architecture and reporting standards for all People data, establishing clear ownership, quality, and governance models.Integrate data across the HCM/HRIS, People Tech Stack, and Finance systems to create a unified source of truth.Lead the design and implementation of a scalable people data infrastructure and reporting layer in partnership with IT, Data Engineering, and Finance.Lead the People Analytics TeamBuild and lead a team spanning Workforce Planning, Recruiting Analytics, and People Insights.Coach and develop analysts to deliver high-quality reporting, analysis, and executive-ready insights.Set priorities, manage capacity, and foster a culture of curiosity, rigor, and trusted partnership.Drive Workforce Planning & Strategic Decision MakingPartner with business leaders, Employee Success Partners (ESPs), Finance, and the Workforce Planning Manager to drive headcount forecasting, scenario planning, and reconciliation.Translate business growth goals into hiring and workforce plans aligned with budget and organizational strategy.Ensure recruiting demand aligns with capacity, funnel performance, and business priorities.Drive Recruiting AnalyticsPartner closely with the Recruiting Leadership team to model capacity and demand, optimize funnel conversion, and evaluate hiring performance.Build standardized recruiting dashboards and insights that improve visibility into pipeline health, time-to-fill, and hiring quality.Ensure alignment between recruiting data, workforce plans, and business forecasts.Deliver Actionable InsightsEstablish standard dashboards and success metrics across Talent Acquisition and the employee lifecycle.Partner with the Sr. Manager of Talent Management and ESPs to translate insights into action on engagement, retention, and performance.Empower executives with intuitive, data-driven insights that guide decision-making and organizational priorities.Drive the Long-Term Data & AI StrategyDevelop and execute the People Analytics roadmap; evolving from foundational data architecture and operational reporting to enterprise HCM integration, centralized data lake, advanced analytics, predictive modeling, and ultimately agentic AI-driven insights.Partner with data and business systems teams to apply machine learning and predictive models to workforce data.Shape the People Team’s long-term AI and data strategy, ensuring ethical use, compliance, and measurable business value.What You'll Bring to the Team:10+ years of experience in analytics with a strong preference for People Analytics, Recruitment Analytics and Workforce Planning; 5+ years in leadership roles.Proven experience building analytics functions or implementing end-to-end data architectures in high-growth or global companies.Deep familiarity with HR and analytics technology ecosystems.Strong executive communication and stakeholder management skills; able to build credibility quickly.Experience leading cross-functional programs that integrate People, Finance, and Operations data.High analytical rigor, strategic thinking, and a bias for execution.Ability to travel, as required (at least once per month)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; $300/monthCompensation RangeCompensation will be paid in the range of up to $188,000 -$235,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.

false

  The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable. Your Impact Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors. Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies. Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product roadmaps. Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who 3+ years as a Data Scientist, in a software technology or AI-driven company. Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. Strong background in data analysis, statistical modeling, and other data science techniques. Familiarity with B2B SaaS business models. Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.  Accessibility & Accommodations  Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.

false

About the TeamOpenAI’s User Operations organization is building the data and intelligence layer behind AI-assisted operations — the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI.About the RoleAs a Data Scientist on User Operations, you’ll design the models, metrics, and experimentation frameworks that power OpenAI’s human-AI collaboration loop. You’ll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You’ll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful.This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.Why it mattersEvery conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI.In this role, you will:Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails.Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction.Develop predictive and statistical models that improve how OpenAI’s support systems automate, measure, and learn from user interactions.Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems.Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders.Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve wayContribute to establishing data science standards and best practices in an AI-native operations environment.Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organizationYou might thrive in this role if you have:10+ years of experience in data science roles within product or technology organizations.Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.Proven experience designing and interpreting experiments and making statistically sound recommendations.Experience building data systems or pipelines that power production workflows or ML-based decisioning.Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker.Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.Ability to build relationships with diverse stakeholders and cultivate strong partnerships.Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.Strong communication skills and the ability to translate complex data into stories for non-technical partners.Nice-to-haves:Familiarity with large language models or AI-assisted operations platforms.Experience in operational automation or customer support analytics.Background in experimentation infrastructure or human-AI interaction systems.About 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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.

false

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

true

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

false

About the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond.You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication.This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available.The VisionBuild causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV.Design customer “happy paths” by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem.Analyze price elasticity to guide product packaging, monetization, and pricing strategies.In this role, you will:Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions.Develop and maintain LTV models across product lines and customer cohorts.Architect scalable frameworks and models that democratize economic insights for leadership and functional teams.Support strategic pricing and investment decisions with robust analytical and causal evidence.Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery.You might thrive in this role if you:Executive communication — ability to distill complex analysis into clear, actionable recommendations for leadership.Technical breadth — comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL.Strategic judgment — ability to connect analytical insights to business impact, delivering the “so what” that informs leadership decisions.Collaboration and ownership — thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery.QualificationsMS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.).7+ years of experience in applied data science, causal inference, or quantitative strategy.Proven record of delivering high-impact insights to executive leadership.Experience building scalable analytical frameworks and models that inform business decision-making.About 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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.

false

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! What we offer  Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

true

🎤 Warum voize? Weil wir mehr als nur ein Job sind!Bei voize revolutionieren wir die Pflegebranche mit KI: Mit voize sprechen Pflegekräfte ihre Dokumentation einfach ins Smartphone und unsere KI erstellt automatisch die richtigen Einträge. Das spart jeder Pflegekraft durchschnittlich 39 Minuten pro Tag, verbessert die Dokuqualität und macht ihren Arbeitsalltag deutlich attraktiver.voize ist YCombinator-funded, wird bereits in über 600 Pflegeeinrichtungen eingesetzt und ist in den letzten 90 Tagen um 100 % gewachsen. Unsere Kunden sparen durch voize jedes Jahr über 3,5 Millionen Stunden – Zeit, die für Menschen statt Papierkram genutzt wird.Doch das ist nur der Anfang. Mit unserer eigenentwickelten voize KI transformieren wir nicht nur den Pflegealltag, sondern haben auch das Potenzial, in zahlreichen anderen Branchen Mehrwert zu schaffen – von Gesundheitswesen bis hin zu Inspektionen.Als dynamisches Team vereinen wir cutting-edge Technologie mit sozialem Impact. Und jetzt kommst du ins Spiel!💡 Deine Mission: Kund:innen begeistern, Prozesse optimieren!Als Werkstudierende:r im Bereich Data Annotation Pflegebranche (M/W/D)ist es deine Aufgabe den KI Modellen dabei zu helfen, sich ständig weiterzuentwickeln. Die KI erlernt diese Fähigkeiten durch gesammelte Daten, die von deinem Team kategorisiert werden. Diese Daten sind das Herzstück unseres Startups.🚀 Dein Daily BusinessGewährleistung der Datenqualität (Spracheingaben, Textdaten) durch regelmäßige Überprüfung, Fehlerbehebung und Aktualisierung der DatensätzeAnalyse von Daten und identifizieren von MusternWissensaustausch mit dem TeamAbstimmung und Zusammenarbeit mit dem Entwicklungsteam zur Analyse und Problemlösung im Bezug auf Datensätze🤝 Dein Skillset – Was du mitbringstVorerfahrung in der Pflege Studium im GesundheitsbereichFokussierter und akkurater Umgang mit Texten und Akzeptanz für repetitive AufgabenTeamfähigkeit und Spaß daran, in einem interdisziplinären Umfeld zu arbeitenDu bist selbstständig, motiviert, vertrauensvoll und hast ein gutes ZeitmanagementDu bist an einer deutschen Hochschule eingeschrieben und kannst 20h pro Woche arbeitenBereitschaft an wöchentlichen Teammeetings teilzunehmen🎯 Unser Erfolgs-Mindset – So ticken wir bei voizeDu sprichst fließend Deutsch damit du dich problemlos mit unserem Team austauschen kannstResilienz ist dein Ding – Herausforderungen siehst du als Chancen, nicht als Hindernisse.Iteratives Arbeiten liegt dir – Du testest, lernst und optimierst ständig, statt auf Perfektion zu wartenDu schätzt offene Kommunikation und konstruktives Feedback – und trägst zu einer positiven Teamkultur bei🌱 Gemeinsam wachsen – was dich bei voize erwartetRemote Work mit der Möglichkeit von unserem Berliner Office aus zu arbeitenWir bieten flexible Arbeitszeiten, denn du weißt am besten, wann du am liebsten arbeitest!25 Tage Urlaub – plus frei an deinem Geburtstag✨ Ready to talk? Dann bewirb dich jetzt! 🚀Intro Call mit Team lead Data (30min) – Ein lockerer Austausch über dich, deine Motivation und voizeTake Home Exercise (max. 1 Std.) - Du bekommst Einblick in die Aufgaben des TeamsExpertise Deep Dive (45min) – Wir sprechen mit dir über dein Fachwissen und was du bei voize bewegen kannstWir freuen uns auf deine Bewerbung und darauf, dich kennenzulernen – ganz gleich, wer du bist oder welchen Hintergrund du hast!

true

PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.  Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

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 the Retail and Consumer business unit.Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

false

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 the Retail and Consumer business unit.Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.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.

false

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 the Retail and Consumer business unit.Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.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.

false

TL;DR - We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking forA business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testingSolid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insightsDeep curiosity about user behavior and what actually drives growth and retentionAbility to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendationsWhat you’ll doWork closely with growth, product, and marketing to identify key levers in the customer journeyAnalyze funnels, cohorts, and user behaviors to surface insights that drive decisionsBuild dashboards, alerts, and automated reporting to keep the team informed and alignedDesign and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategyMonitor data quality and collaborate with engineering to maintain reliabilityLeverage AI tools and automation to scale your analysis and focus on high-impact questionsTranslate data into clear, actionable narratives that drive product and business decisionsOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)And always on the lookout for what's next!How we hireFill in a short form then jump on an initial exploratory call.Discuss your experience in more depth during a round of interviews with us.Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested please apply through our careers portal.

false

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 work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI-powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.Own the end-to-end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high-performing computational twins within the Frontier platform.Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.Articulate intricate technical concepts, model design choices, 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 direct responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.Technical Leadership:Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.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 (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis).Strong Python programming skills and an 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).You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.You have a strategic, product-oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier.You are passionate about developing people and have experience formally managing or mentoring other technical professionals.Commercial experience is essential, particularly if it involved client-facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.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.

false

About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product and Go-to-Market teams. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of Making Conversations More Valuable. Your Impact Collaborate with Product and Go-to-Market teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. Develop and Implement predictive models, analytical tools, and methodologies to analyze product usage, sales trends, customer behaviors, and market dynamics. Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. Design and Execute experiments to test hypotheses and measure the effectiveness of various product experiences, sales tactics, marketing campaigns, and business strategies. Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product and Go-to-Market strategies. Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're looking for someone who 3+ years as a Data Scientist or similar role, preferably in a technology or AI-driven company. Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. Strong background in data analysis, statistical modeling, and other data science techniques. Familiarity with B2B go-to-market business models. Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. Salary range Salary Range: $155,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

false

Role DetailsLocation: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Data Scientists to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoOwn data & evaluation across multiple customer projects - design metrics, run experiments, and build dashboards to track model and workflow performance.Evaluate and refine LLM-based systems - analyze outputs, tune prompts, and measure accuracy and coverage across varied insurance workflowsAnalyze and communicate insights from production data to improve accuracy, coverage, and reliability.Work closely with our CTO, Sashank (ex-Apple AI/ML), to define success metrics and productionize AI systems.Collaborate with customers to translate workflows into measurable outcomes.Work in-person from our San Francisco HQ (5-day week).What We’re Looking For3+ years in data science or applied analytics.Experience prompting and evaluating LLMs for real-world applicationsStrong in Python, SQL, and building evaluation or dashboarding pipelines.Solid grasp of model metrics, error analysis, and experimentation.Clear communicator who can turn data into actionable insights.At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job - we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

false

🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the RoleWe're looking for a Data Scientist to build and scale Opus's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics—working closely with cross-functional partners to drive measurable business outcomes.This is a hands-on role: you'll define data vision, architectural systems, and roll up your sleeves to build pipelines, models, and advanced analyses that power Opus's growth.ResponsibilitiesData Engineering & InfrastructureDesign, implement, and maintain robust pipelines across multiple sources, including GCS, MongoDB, and third-party SaaS platforms.Ensure scalable ingestion, transformation, and governance of structured and unstructured data.Applied Data Science & AnalyticsLead advanced analyses across growth, CRM/CX, payment flows, and web tracking.Build marketing attribution models to measure ROI and optimize spend.Analyze user lifecycle and retention patterns, including churn risk, reactivation triggers, and CLV.Develop predictive models on user behavior to power personalization and recommendations.Create user segmentation and tagging frameworks to enable targeted engagement strategies.Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.Establish best practices in A/B testing and post-experiment evaluation.Prior experience in these areas is highly valued.Experimentation & InsightsPartner with product and business teams to design experiments and interpret results.Drive rigor in experiment design, metric selection, and causal inference.Leadership & StrategyDefine the data science roadmap / priority and align it with company goal.Mentor and grow a scrappy, high-performing team of data engineers and analysts.Act as a thought partner across GTM and BD initiatives, enabling data-driven decisions.RequirementsExperience3~5 years of experience in data-related roles, with a strong individual contributor (IC) backgroundProven track record of leading projects end-to-end in a fast-paced, high-ownership environment.EducationBachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).Master's degree preferred, though not strictly required, if compensated by strong industry experience.Technical ExpertiseStrong proficiency in Python and SQL, with hands-on experience across the data lifecycle.Experience with the modern data stack (BigQuery, dbt, Superset, Statsig).Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.Familiarity with workflow orchestration (e.g., Airflow) to automate and manage pipelines.Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.Familiar with LLM and agent workflows, curious and eager to push the frontier.Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.Analytical ExcellenceDeep experience in A/B testing, experimentation platforms, and post-experiment analysis.Strong statistical intuition with the ability to translate results into actionable insights.Domain ExperienceExposure to CRM/CX, payments, web tracking, and user data.Experience building data products that support BD and customer-facing use cases.Leadership & CollaborationAbility to balance hands-on execution with strategic leadership.Experience in fast-paced startup environments, collaborating with product, engineering, and GTM teams.Nice to HaveExperience with ML in production, including deployment and monitoring.Interest in building and experimenting with data-driven agents, including prototyping agentic workflows.Familiarity with reinforcement learning and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a Staff Data Scientist who can set the foundation for data science at Harvey. We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles. You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities. As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions.What You'll DoConduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact.Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes.Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners.Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey. What You Have5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organizationProven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground upStrong communication skills, with the ability to effectively partner with product managers, engineers, and executivesStrategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business directionBonusEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsExperience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range$180,000 - $225,000 USDPlease find our CA applicant privacy notice here.#LI-CL1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

false

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 endeavours 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 non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients. In this role, you'll help the team: Co-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support 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 You might be a good fit for the role if you have: 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 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles 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   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.