Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Machine Learning Data Scientist, Forecasting at OpenAI - San Francisco, CA
Role Overview
Join OpenAI's Strategic Finance team as a Machine Learning Data Scientist specializing in Forecasting, where you'll shape the future of AI-driven business decisions. This senior-level role offers the rare opportunity to build foundational forecasting systems from the ground up at one of the world's most innovative AI companies.
Our Strategic Finance Data Science team partners with Product, Engineering, and Go-To-Market leaders to deliver rigorous economic modeling and real-time predictions powering high-stakes decisions. As a founding member of our Forecasting pillar, you'll develop scalable infrastructure predicting user growth (DAU/WAU), revenue trajectories, compute consumption, customer lifetime value (LTV), and profitability metrics.
This hybrid role in San Francisco, CA (3 days/week in office) combines technical depth with strategic impact. Your models will directly influence pricing strategies, infrastructure investments, growth planning, and executive decision-making. With relocation assistance available, this is your chance to work at the intersection of cutting-edge machine learning and business strategy.
Ideal candidates bring 7+ years of applied data science experience, advanced time-series expertise, and proven ability to productionize ML systems. If you excel at building interpretable forecasts that drive millions in business value, this role will challenge and reward you.
Key Responsibilities
As a senior ML Data Scientist in Forecasting, you'll own critical initiatives end-to-end:
- Develop advanced time-series forecasting models (ARIMA, Prophet, LSTMs, transformers) for user engagement, revenue, compute load, and profitability across OpenAI's ecosystem.
- Lead end-to-end ML lifecycle: from business scoping and feature engineering through prototyping, A/B experimentation, production deployment, and ongoing monitoring.
- Build scalable production forecasting systems handling massive datasets with low-latency inference requirements.
- Create self-service forecasting platforms empowering Product, Finance, and GTM teams with real-time predictions and scenario analysis.
- Research emerging techniques like TimeGPT, causal forecasting, and LLM-augmented prediction models, rapidly prototyping and evaluating for production use.
- Translate complex model outputs into strategic business insights, creating executive dashboards and decision frameworks.
- Collaborate cross-functionally to integrate forecasts into planning cycles, experimentation platforms, and investment models.
- Design robust model monitoring and retraining pipelines ensuring long-term accuracy in dynamic environments.
- Optimize models balancing performance, explainability, and computational efficiency for stakeholder trust and scalability.
- Partner with infrastructure teams to forecast compute resource demands supporting OpenAI's rapid scaling.
Qualifications & Requirements
We're seeking exceptional talent with:
- Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Operations Research, or quantitative field.
- 7+ years applied data science experience, with deep forecasting/predictive modeling expertise.
- Time-series mastery: ARIMA, Prophet, neural networks, anomaly detection, hierarchical forecasting.
- Production ML experience: full lifecycle ownership including MLOps, monitoring, and scaling.
- Technical stack: Expert Python/SQL; proficient scikit-learn, PyTorch/TensorFlow, forecasting libraries.
- Business impact: Proven ability to drive multimillion-dollar decisions through data science.
- Cross-functional collaboration with technical and non-technical stakeholders.
Salary & Benefits
Compensation Range: $250,000 - $450,000 USD annually (base + equity + bonus), depending on experience and location. Total compensation includes meaningful equity in OpenAI.
Comprehensive Benefits Package:
- Top-tier medical, dental, vision insurance
- 401(k) with generous matching
- Unlimited PTO + 16+ weeks parental leave
- Hybrid SF work model + full relocation
- Fitness stipend, catered meals, wellness programs
- Learning stipend for conferences/certifications
- Cutting-edge hardware and development resources
Why Join OpenAI?
OpenAI is at the forefront of artificial general intelligence, powering products used by millions worldwide. Our Strategic Finance team uniquely combines data science rigor with strategic impact, giving you exposure to every aspect of the business.
Work alongside world-class researchers, engineers, and leaders shaping AI's future. Enjoy San Francisco's vibrant tech ecosystem while contributing to mission-critical systems that unlock OpenAI's full potential. This is rare ownership opportunity at a high-growth AI leader.
How to Apply
Submit your resume, LinkedIn, and a brief note on your most impactful forecasting project. Highlight production ML experience and business impact. OpenAI is an equal opportunity employer committed to diversity.
Locations
- San Francisco, California, United States
Salary
262,500 - 495,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Time Series Forecastingintermediate
- Machine Learning Modelsintermediate
- Python Programmingintermediate
- SQL Queryingintermediate
- Scikit-learnintermediate
- PyTorchintermediate
- TensorFlowintermediate
- Feature Engineeringintermediate
- Model Deploymentintermediate
- Statistical Modelingintermediate
- Causal Inferenceintermediate
- Data Visualizationintermediate
- A/B Testingintermediate
- Predictive Analyticsintermediate
- Model Monitoringintermediate
- Explainable AIintermediate
- Big Data Processingintermediate
- Cloud Computingintermediate
- Economic Modelingintermediate
- Business Intelligenceintermediate
Required Qualifications
- Advanced degree (MS or PhD) in Statistics, Computer Science, Economics, Operations Research, or related quantitative field (experience)
- 7+ years of experience in applied data science with hands-on forecasting and predictive modeling (experience)
- Deep expertise in time-series forecasting techniques including ARIMA, Prophet, LSTM, and transformer-based models (experience)
- Proven track record working with marketplace or usage-based business systems (experience)
- Proficiency in Python, SQL, scikit-learn, PyTorch/TensorFlow, and specialized forecasting libraries like GluonTS or TimeGPT (experience)
- Strong experience owning end-to-end ML model lifecycle from scoping to production monitoring (experience)
- Demonstrated ability to build scalable, interpretable production forecasting systems (experience)
- Experience with model explainability, debugging, and long-term performance monitoring (experience)
- Comfortable collaborating cross-functionally with engineering, product, finance, and executive teams (experience)
- Strong business acumen and ability to translate technical models into strategic business recommendations (experience)
- Familiarity with emerging forecasting techniques like causal forecasting and LLM extensions (experience)
- Experience developing self-service data tools and internal platforms (experience)
Responsibilities
- Build advanced statistical and machine learning models for forecasting user growth, revenue, compute infrastructure, and profitability
- Own complete end-to-end modeling lifecycle including problem scoping, feature engineering, prototyping, experimentation, and deployment
- Develop and productionize scalable, interpretable forecasts for DAU/WAU, LTV, monetization, and operational metrics
- Create self-service forecasting tools and internal platforms enabling real-time predictions across OpenAI teams
- Research and evaluate cutting-edge forecasting techniques including TimeGPT, causal methods, and hybrid ML approaches
- Drive strategic insight generation by converting model outputs into actionable business recommendations
- Collaborate with product managers, engineers, researchers, and finance leaders to integrate forecasts into planning processes
- Design and implement robust model monitoring, alerting, and retraining pipelines for production systems
- Conduct A/B experiments and causal analysis to validate forecasting assumptions and improve model accuracy
- Optimize models for performance, explainability, and scalability in high-stakes business environments
- Partner with GTM teams to forecast sales pipelines, customer acquisition, and pricing strategies
- Contribute to company-wide forecasting infrastructure supporting investment decisions and growth strategy
- Document methodologies, create executive presentations, and evangelize data-driven decision making
Benefits
- general: Competitive total compensation package including base salary, equity, and performance bonuses
- general: Comprehensive medical, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy with encouragement to disconnect and recharge
- general: Hybrid work model (3 days in office) with flexibility for collaboration
- general: Full relocation assistance package for new San Francisco employees
- general: Generous parental leave policy (16+ weeks)
- general: Fitness stipend and wellness programs including mental health support
- general: Catered lunches daily and fully stocked kitchens
- general: Learning and development stipend for conferences, courses, and certifications
- general: Commuter benefits and subsidized public transportation
- general: Volunteer time off and charitable donation matching
- general: Cutting-edge hardware including latest MacBooks and high-end monitors
- general: Regular team offsites and company-wide social events
- general: Direct impact on AI products used by millions worldwide
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Machine Learning Data Scientist, Forecasting at OpenAI - San Francisco, CA
Role Overview
Join OpenAI's Strategic Finance team as a Machine Learning Data Scientist specializing in Forecasting, where you'll shape the future of AI-driven business decisions. This senior-level role offers the rare opportunity to build foundational forecasting systems from the ground up at one of the world's most innovative AI companies.
Our Strategic Finance Data Science team partners with Product, Engineering, and Go-To-Market leaders to deliver rigorous economic modeling and real-time predictions powering high-stakes decisions. As a founding member of our Forecasting pillar, you'll develop scalable infrastructure predicting user growth (DAU/WAU), revenue trajectories, compute consumption, customer lifetime value (LTV), and profitability metrics.
This hybrid role in San Francisco, CA (3 days/week in office) combines technical depth with strategic impact. Your models will directly influence pricing strategies, infrastructure investments, growth planning, and executive decision-making. With relocation assistance available, this is your chance to work at the intersection of cutting-edge machine learning and business strategy.
Ideal candidates bring 7+ years of applied data science experience, advanced time-series expertise, and proven ability to productionize ML systems. If you excel at building interpretable forecasts that drive millions in business value, this role will challenge and reward you.
Key Responsibilities
As a senior ML Data Scientist in Forecasting, you'll own critical initiatives end-to-end:
- Develop advanced time-series forecasting models (ARIMA, Prophet, LSTMs, transformers) for user engagement, revenue, compute load, and profitability across OpenAI's ecosystem.
- Lead end-to-end ML lifecycle: from business scoping and feature engineering through prototyping, A/B experimentation, production deployment, and ongoing monitoring.
- Build scalable production forecasting systems handling massive datasets with low-latency inference requirements.
- Create self-service forecasting platforms empowering Product, Finance, and GTM teams with real-time predictions and scenario analysis.
- Research emerging techniques like TimeGPT, causal forecasting, and LLM-augmented prediction models, rapidly prototyping and evaluating for production use.
- Translate complex model outputs into strategic business insights, creating executive dashboards and decision frameworks.
- Collaborate cross-functionally to integrate forecasts into planning cycles, experimentation platforms, and investment models.
- Design robust model monitoring and retraining pipelines ensuring long-term accuracy in dynamic environments.
- Optimize models balancing performance, explainability, and computational efficiency for stakeholder trust and scalability.
- Partner with infrastructure teams to forecast compute resource demands supporting OpenAI's rapid scaling.
Qualifications & Requirements
We're seeking exceptional talent with:
- Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Operations Research, or quantitative field.
- 7+ years applied data science experience, with deep forecasting/predictive modeling expertise.
- Time-series mastery: ARIMA, Prophet, neural networks, anomaly detection, hierarchical forecasting.
- Production ML experience: full lifecycle ownership including MLOps, monitoring, and scaling.
- Technical stack: Expert Python/SQL; proficient scikit-learn, PyTorch/TensorFlow, forecasting libraries.
- Business impact: Proven ability to drive multimillion-dollar decisions through data science.
- Cross-functional collaboration with technical and non-technical stakeholders.
Salary & Benefits
Compensation Range: $250,000 - $450,000 USD annually (base + equity + bonus), depending on experience and location. Total compensation includes meaningful equity in OpenAI.
Comprehensive Benefits Package:
- Top-tier medical, dental, vision insurance
- 401(k) with generous matching
- Unlimited PTO + 16+ weeks parental leave
- Hybrid SF work model + full relocation
- Fitness stipend, catered meals, wellness programs
- Learning stipend for conferences/certifications
- Cutting-edge hardware and development resources
Why Join OpenAI?
OpenAI is at the forefront of artificial general intelligence, powering products used by millions worldwide. Our Strategic Finance team uniquely combines data science rigor with strategic impact, giving you exposure to every aspect of the business.
Work alongside world-class researchers, engineers, and leaders shaping AI's future. Enjoy San Francisco's vibrant tech ecosystem while contributing to mission-critical systems that unlock OpenAI's full potential. This is rare ownership opportunity at a high-growth AI leader.
How to Apply
Submit your resume, LinkedIn, and a brief note on your most impactful forecasting project. Highlight production ML experience and business impact. OpenAI is an equal opportunity employer committed to diversity.
Locations
- San Francisco, California, United States
Salary
262,500 - 495,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Time Series Forecastingintermediate
- Machine Learning Modelsintermediate
- Python Programmingintermediate
- SQL Queryingintermediate
- Scikit-learnintermediate
- PyTorchintermediate
- TensorFlowintermediate
- Feature Engineeringintermediate
- Model Deploymentintermediate
- Statistical Modelingintermediate
- Causal Inferenceintermediate
- Data Visualizationintermediate
- A/B Testingintermediate
- Predictive Analyticsintermediate
- Model Monitoringintermediate
- Explainable AIintermediate
- Big Data Processingintermediate
- Cloud Computingintermediate
- Economic Modelingintermediate
- Business Intelligenceintermediate
Required Qualifications
- Advanced degree (MS or PhD) in Statistics, Computer Science, Economics, Operations Research, or related quantitative field (experience)
- 7+ years of experience in applied data science with hands-on forecasting and predictive modeling (experience)
- Deep expertise in time-series forecasting techniques including ARIMA, Prophet, LSTM, and transformer-based models (experience)
- Proven track record working with marketplace or usage-based business systems (experience)
- Proficiency in Python, SQL, scikit-learn, PyTorch/TensorFlow, and specialized forecasting libraries like GluonTS or TimeGPT (experience)
- Strong experience owning end-to-end ML model lifecycle from scoping to production monitoring (experience)
- Demonstrated ability to build scalable, interpretable production forecasting systems (experience)
- Experience with model explainability, debugging, and long-term performance monitoring (experience)
- Comfortable collaborating cross-functionally with engineering, product, finance, and executive teams (experience)
- Strong business acumen and ability to translate technical models into strategic business recommendations (experience)
- Familiarity with emerging forecasting techniques like causal forecasting and LLM extensions (experience)
- Experience developing self-service data tools and internal platforms (experience)
Responsibilities
- Build advanced statistical and machine learning models for forecasting user growth, revenue, compute infrastructure, and profitability
- Own complete end-to-end modeling lifecycle including problem scoping, feature engineering, prototyping, experimentation, and deployment
- Develop and productionize scalable, interpretable forecasts for DAU/WAU, LTV, monetization, and operational metrics
- Create self-service forecasting tools and internal platforms enabling real-time predictions across OpenAI teams
- Research and evaluate cutting-edge forecasting techniques including TimeGPT, causal methods, and hybrid ML approaches
- Drive strategic insight generation by converting model outputs into actionable business recommendations
- Collaborate with product managers, engineers, researchers, and finance leaders to integrate forecasts into planning processes
- Design and implement robust model monitoring, alerting, and retraining pipelines for production systems
- Conduct A/B experiments and causal analysis to validate forecasting assumptions and improve model accuracy
- Optimize models for performance, explainability, and scalability in high-stakes business environments
- Partner with GTM teams to forecast sales pipelines, customer acquisition, and pricing strategies
- Contribute to company-wide forecasting infrastructure supporting investment decisions and growth strategy
- Document methodologies, create executive presentations, and evangelize data-driven decision making
Benefits
- general: Competitive total compensation package including base salary, equity, and performance bonuses
- general: Comprehensive medical, dental, and vision insurance coverage
- general: 401(k) retirement plan with generous company matching
- general: Unlimited PTO policy with encouragement to disconnect and recharge
- general: Hybrid work model (3 days in office) with flexibility for collaboration
- general: Full relocation assistance package for new San Francisco employees
- general: Generous parental leave policy (16+ weeks)
- general: Fitness stipend and wellness programs including mental health support
- general: Catered lunches daily and fully stocked kitchens
- general: Learning and development stipend for conferences, courses, and certifications
- general: Commuter benefits and subsidized public transportation
- general: Volunteer time off and charitable donation matching
- general: Cutting-edge hardware including latest MacBooks and high-end monitors
- general: Regular team offsites and company-wide social events
- general: Direct impact on AI products used by millions worldwide
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Data Scientist, Forecasting Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs