Data Scientist Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Data Scientist Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Data Scientist Careers at OpenAI - San Francisco, California
Join OpenAI's Strategic Finance team as a founding Data Scientist and shape the future of AI-driven financial strategy. This senior-level role offers the chance to work on high-impact projects at the intersection of data science, causal inference, and business decision-making. Located in San Francisco, CA, this hybrid position combines cutting-edge AI research with real-world deployment.
Role Overview
The Strategic Finance Data Science team at OpenAI manages some of the company's largest investment categories. As a founding Data Scientist, you'll design and own critical models, reporting systems, and analyses that maximize OpenAI's long-term value. Partnering across Finance, Product, Engineering, Research, Applied, and Go-To-Market teams, you'll deliver actionable insights for strategic decisions.
This role demands expertise in predictive modeling and causal inference to support high-stakes choices like product pricing, resource allocation, and growth strategies. Based at OpenAI's San Francisco headquarters with a hybrid model (3 days/week in office), we provide relocation assistance. Ideal candidates bring 7+ years of experience from hyper-growth companies, proficiency in Python/SQL/Tableau, and a passion for AI's potential to benefit humanity.
OpenAI is pushing AI boundaries while prioritizing safety and human-centered development. Your work will directly influence how we deploy general-purpose AI systems responsibly worldwide.
Key Responsibilities
In this pivotal role, you'll take ownership of end-to-end data science initiatives. Key responsibilities include:
- Mastering OpenAI's data systems and self-serving datasets through partnerships with Data Engineering and Finance teams.
- Scaling causal inference models to quantify action impacts on user growth, retention, and financial metrics.
- Building customer segmentation frameworks that unlock personalized growth strategies and lifetime value expansion.
- Automating reporting via data products and agentic solutions for efficiency at scale.
- Providing ad hoc analysis for product pricing, investment decisions, and strategic pivots.
- Designing leadership dashboards for real-time KPI tracking and decision support.
- Leading cross-functional projects from hypothesis to deployment, ensuring measurable business outcomes.
- Developing predictive models for revenue forecasting, user behavior, and market trends.
- Conducting rigorous statistical analyses on complex, large-scale datasets.
- Creating data narratives that influence executive strategy and resource allocation.
- Optimizing data pipelines for real-time insights and scalability.
- Experimenting with A/B tests and advanced methodologies to validate causal claims.
- Collaborating with AI research teams to integrate cutting-edge techniques into finance applications.
Expect a fast-paced environment where you'll thrive as a self-starter driving impact through first-principles thinking.
Qualifications
We're seeking senior data scientists with proven impact in high-growth settings:
- MS/PhD in quantitative field + 7+ years in analytical roles at hyper-growth firms.
- Expert Python, SQL, Tableau skills for end-to-end workflows.
- Advanced predictive modeling and causal inference experience (e.g., IV, DiD, PSM).
- Track record of leadership insights from complex data for C-suite audiences.
- Autonomy in owning projects from ideation to production.
- Superior communication for technical storytelling.
- Attention to detail in high-stakes analysis.
Bonus: AI passion, cross-functional collaboration, first-principles problem-solving.
Salary & Benefits
Salary range: $250,000 - $400,000 USD yearly (base + equity), depending on experience. Comprehensive package includes health/dental/vision, 401(k) match, unlimited PTO, parental leave, fitness stipend, catered meals, learning budget, commuter benefits, and more. Hybrid SF role with relocation support.
Why Join OpenAI?
OpenAI leads AI research and deployment for humanity's benefit. Work with world-class teams on transformative tech. Enjoy a mission-driven culture valuing diverse perspectives, safety, and impact. San Francisco HQ fosters collaboration in a vibrant AI ecosystem. As a founding team member, shape Strategic Finance's data foundation.
Thrive if you're a self-starter passionate about AI, excelling in dynamic settings with clear communication and teammate spirit.
How to Apply
Apply via OpenAI careers portal. Submit resume, cover letter highlighting quantitative impact and AI interest. Selected candidates interview with data tasks, leadership discussions. We prioritize diverse talent and equal opportunity.
SEO Keywords: data scientist OpenAI San Francisco, causal inference jobs AI, senior data scientist careers, Python SQL data science roles, AI finance data scientist, predictive modeling OpenAI, hypergrowth data scientist positions.
Locations
- San Francisco, California, United States
Salary
262,500 - 440,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- SQLintermediate
- Tableauintermediate
- Predictive Modelingintermediate
- Causal Inferenceintermediate
- Machine Learningintermediate
- Data Analysisintermediate
- Statistical Modelingintermediate
- Customer Segmentationintermediate
- Dashboard Designintermediate
- Data Engineeringintermediate
- Big Data Processingintermediate
- A/B Testingintermediate
- Time Series Analysisintermediate
- Natural Language Processingintermediate
- Deep Learningintermediate
- Hypothesis Testingintermediate
- Data Visualizationintermediate
- ETL Pipelinesintermediate
- Agentic AI Solutionsintermediate
Required Qualifications
- MS or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or related discipline (experience)
- 7+ years of experience in a highly quantitative role, preferably as an early data scientist at a hyper-growth tech company or research organization (experience)
- Proficiency in Python for data analysis, modeling, and automation (experience)
- Advanced SQL skills for querying large, complex datasets (experience)
- Expertise in Tableau or similar tools for creating interactive dashboards and visualizations (experience)
- Deep experience with predictive modeling techniques including regression, classification, and forecasting (experience)
- Strong background in causal inference methods such as instrumental variables, difference-in-differences, and propensity score matching (experience)
- Proven track record of distilling complex data analyses into actionable insights for executive leadership (experience)
- Ability to independently initiate, manage, and complete end-to-end data science projects (experience)
- Exceptional communication and storytelling skills for presenting technical findings to non-technical stakeholders (experience)
- Experience working with cross-functional teams including Finance, Product, Engineering, and Go-To-Market (experience)
- Demonstrated attention to detail and commitment to data accuracy and reproducibility (experience)
- Familiarity with AI/ML frameworks and concepts, especially in fast-paced tech environments (experience)
Responsibilities
- Become an expert in OpenAI's data ecosystem and systems architecture
- Partner with Data Engineering, Finance, Research, Applied, and Go-To-Market teams to self-serve data for critical insights
- Design, implement, and scale causal inference models to measure impact of actions on user growth and financial outcomes
- Architect sophisticated customer segmentation frameworks to enable tailored growth strategies and maximize lifetime value
- Automate standardized reporting, analysis, and workflows using data products or agentic AI solutions
- Conduct ad hoc analysis to support high-stakes product pricing decisions and other business strategies
- Design and deliver executive dashboards tracking key performance indicators for optimal decision-making
- Manage and lead cross-functional data science projects from inception to deployment and iteration
- Develop predictive models for forecasting revenue, user engagement, and business metrics
- Perform advanced statistical analysis on large-scale, messy datasets to uncover hidden patterns
- Collaborate with leadership to translate business questions into rigorous analytical frameworks
- Build scalable data pipelines and infrastructure to support real-time analytics
- Create compelling data stories and presentations that drive strategic initiatives
- Continuously improve model performance through experimentation and A/B testing
Benefits
- general: Competitive salary with equity package in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy to support work-life balance
- general: Hybrid work model with 3 days in office per week at San Francisco HQ
- general: Full relocation assistance for new employees moving to San Francisco
- general: Generous parental leave policy for primary and secondary caregivers
- general: Fitness stipend and wellness programs including gym memberships
- general: Catered lunches and dinners daily at the office
- general: Learning and development stipend for conferences, courses, and certifications
- general: Commuter benefits and public transit subsidies
- general: Mental health support through professional counseling services
- general: Volunteer time off and charitable donation matching
- general: Cutting-edge AI projects with global impact
- general: Collaborative culture with top talent in AI research and deployment
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
Data Scientist Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Data Scientist Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Data Scientist Careers at OpenAI - San Francisco, California
Join OpenAI's Strategic Finance team as a founding Data Scientist and shape the future of AI-driven financial strategy. This senior-level role offers the chance to work on high-impact projects at the intersection of data science, causal inference, and business decision-making. Located in San Francisco, CA, this hybrid position combines cutting-edge AI research with real-world deployment.
Role Overview
The Strategic Finance Data Science team at OpenAI manages some of the company's largest investment categories. As a founding Data Scientist, you'll design and own critical models, reporting systems, and analyses that maximize OpenAI's long-term value. Partnering across Finance, Product, Engineering, Research, Applied, and Go-To-Market teams, you'll deliver actionable insights for strategic decisions.
This role demands expertise in predictive modeling and causal inference to support high-stakes choices like product pricing, resource allocation, and growth strategies. Based at OpenAI's San Francisco headquarters with a hybrid model (3 days/week in office), we provide relocation assistance. Ideal candidates bring 7+ years of experience from hyper-growth companies, proficiency in Python/SQL/Tableau, and a passion for AI's potential to benefit humanity.
OpenAI is pushing AI boundaries while prioritizing safety and human-centered development. Your work will directly influence how we deploy general-purpose AI systems responsibly worldwide.
Key Responsibilities
In this pivotal role, you'll take ownership of end-to-end data science initiatives. Key responsibilities include:
- Mastering OpenAI's data systems and self-serving datasets through partnerships with Data Engineering and Finance teams.
- Scaling causal inference models to quantify action impacts on user growth, retention, and financial metrics.
- Building customer segmentation frameworks that unlock personalized growth strategies and lifetime value expansion.
- Automating reporting via data products and agentic solutions for efficiency at scale.
- Providing ad hoc analysis for product pricing, investment decisions, and strategic pivots.
- Designing leadership dashboards for real-time KPI tracking and decision support.
- Leading cross-functional projects from hypothesis to deployment, ensuring measurable business outcomes.
- Developing predictive models for revenue forecasting, user behavior, and market trends.
- Conducting rigorous statistical analyses on complex, large-scale datasets.
- Creating data narratives that influence executive strategy and resource allocation.
- Optimizing data pipelines for real-time insights and scalability.
- Experimenting with A/B tests and advanced methodologies to validate causal claims.
- Collaborating with AI research teams to integrate cutting-edge techniques into finance applications.
Expect a fast-paced environment where you'll thrive as a self-starter driving impact through first-principles thinking.
Qualifications
We're seeking senior data scientists with proven impact in high-growth settings:
- MS/PhD in quantitative field + 7+ years in analytical roles at hyper-growth firms.
- Expert Python, SQL, Tableau skills for end-to-end workflows.
- Advanced predictive modeling and causal inference experience (e.g., IV, DiD, PSM).
- Track record of leadership insights from complex data for C-suite audiences.
- Autonomy in owning projects from ideation to production.
- Superior communication for technical storytelling.
- Attention to detail in high-stakes analysis.
Bonus: AI passion, cross-functional collaboration, first-principles problem-solving.
Salary & Benefits
Salary range: $250,000 - $400,000 USD yearly (base + equity), depending on experience. Comprehensive package includes health/dental/vision, 401(k) match, unlimited PTO, parental leave, fitness stipend, catered meals, learning budget, commuter benefits, and more. Hybrid SF role with relocation support.
Why Join OpenAI?
OpenAI leads AI research and deployment for humanity's benefit. Work with world-class teams on transformative tech. Enjoy a mission-driven culture valuing diverse perspectives, safety, and impact. San Francisco HQ fosters collaboration in a vibrant AI ecosystem. As a founding team member, shape Strategic Finance's data foundation.
Thrive if you're a self-starter passionate about AI, excelling in dynamic settings with clear communication and teammate spirit.
How to Apply
Apply via OpenAI careers portal. Submit resume, cover letter highlighting quantitative impact and AI interest. Selected candidates interview with data tasks, leadership discussions. We prioritize diverse talent and equal opportunity.
SEO Keywords: data scientist OpenAI San Francisco, causal inference jobs AI, senior data scientist careers, Python SQL data science roles, AI finance data scientist, predictive modeling OpenAI, hypergrowth data scientist positions.
Locations
- San Francisco, California, United States
Salary
262,500 - 440,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- SQLintermediate
- Tableauintermediate
- Predictive Modelingintermediate
- Causal Inferenceintermediate
- Machine Learningintermediate
- Data Analysisintermediate
- Statistical Modelingintermediate
- Customer Segmentationintermediate
- Dashboard Designintermediate
- Data Engineeringintermediate
- Big Data Processingintermediate
- A/B Testingintermediate
- Time Series Analysisintermediate
- Natural Language Processingintermediate
- Deep Learningintermediate
- Hypothesis Testingintermediate
- Data Visualizationintermediate
- ETL Pipelinesintermediate
- Agentic AI Solutionsintermediate
Required Qualifications
- MS or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or related discipline (experience)
- 7+ years of experience in a highly quantitative role, preferably as an early data scientist at a hyper-growth tech company or research organization (experience)
- Proficiency in Python for data analysis, modeling, and automation (experience)
- Advanced SQL skills for querying large, complex datasets (experience)
- Expertise in Tableau or similar tools for creating interactive dashboards and visualizations (experience)
- Deep experience with predictive modeling techniques including regression, classification, and forecasting (experience)
- Strong background in causal inference methods such as instrumental variables, difference-in-differences, and propensity score matching (experience)
- Proven track record of distilling complex data analyses into actionable insights for executive leadership (experience)
- Ability to independently initiate, manage, and complete end-to-end data science projects (experience)
- Exceptional communication and storytelling skills for presenting technical findings to non-technical stakeholders (experience)
- Experience working with cross-functional teams including Finance, Product, Engineering, and Go-To-Market (experience)
- Demonstrated attention to detail and commitment to data accuracy and reproducibility (experience)
- Familiarity with AI/ML frameworks and concepts, especially in fast-paced tech environments (experience)
Responsibilities
- Become an expert in OpenAI's data ecosystem and systems architecture
- Partner with Data Engineering, Finance, Research, Applied, and Go-To-Market teams to self-serve data for critical insights
- Design, implement, and scale causal inference models to measure impact of actions on user growth and financial outcomes
- Architect sophisticated customer segmentation frameworks to enable tailored growth strategies and maximize lifetime value
- Automate standardized reporting, analysis, and workflows using data products or agentic AI solutions
- Conduct ad hoc analysis to support high-stakes product pricing decisions and other business strategies
- Design and deliver executive dashboards tracking key performance indicators for optimal decision-making
- Manage and lead cross-functional data science projects from inception to deployment and iteration
- Develop predictive models for forecasting revenue, user engagement, and business metrics
- Perform advanced statistical analysis on large-scale, messy datasets to uncover hidden patterns
- Collaborate with leadership to translate business questions into rigorous analytical frameworks
- Build scalable data pipelines and infrastructure to support real-time analytics
- Create compelling data stories and presentations that drive strategic initiatives
- Continuously improve model performance through experimentation and A/B testing
Benefits
- general: Competitive salary with equity package in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy to support work-life balance
- general: Hybrid work model with 3 days in office per week at San Francisco HQ
- general: Full relocation assistance for new employees moving to San Francisco
- general: Generous parental leave policy for primary and secondary caregivers
- general: Fitness stipend and wellness programs including gym memberships
- general: Catered lunches and dinners daily at the office
- general: Learning and development stipend for conferences, courses, and certifications
- general: Commuter benefits and public transit subsidies
- general: Mental health support through professional counseling services
- general: Volunteer time off and charitable donation matching
- general: Cutting-edge AI projects with global impact
- general: Collaborative culture with top talent in AI research and deployment
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs