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OpenAI
OpenAI
201 – 500 Employees
H1B Visa SponsorArtificial IntelligenceEnterpriseSaaS
OpenAI is an artificial intelligence research and technology company building advanced AI systems with a focus on safety and responsible development. Its products include ChatGPT, which supports everyday and complex professional tasks, and an API platform that enables businesses and developers to integrate AI models into their own applications. Operating across artificial intelligence, SaaS, and enterprise technology, OpenAI combines research, product development, and efforts to improve how AI systems are governed and used.
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Senior Machine Learning Data Scientist, Consumer Forecasting

Build and operate forecasting systems that help OpenAI plan for user growth, revenue, compute demand, customer value, and profitability. The role connects machine learning research with product, finance, infrastructure, and business decisions.

USUnited StatesCACalifornia
$347,000 – $445,000 / year
HybridFull-timeSeniorLeadEnglish RequiredData Scientist
PythonPyTorchScikit-LearnSQLTensorflow

Description

  • Create statistical and machine learning models to meet forecasting needs across product, finance, infrastructure, and go-to-market teams.
  • Lead the full modeling process, from scoping and feature design through development, testing, deployment, monitoring, and explainability.
  • Build and deploy scalable, interpretable forecasts for user growth, monetization, compute demand, customer lifetime value, and profitability.
  • Help develop self-service forecasting tools and internal platforms.
  • Assess new forecasting methods and tools, including TimeGPT, LLM extensions, causal forecasting, and hybrid techniques.
  • Turn technical results into recommendations and decision frameworks aligned with business needs.
  • Work closely with product managers, researchers, engineers, and finance leaders.
  • Bring forecasts into planning, experimentation, and executive decision-making.

Requirements

  • Master’s or PhD in a quantitative discipline such as statistics, computer science, economics, or operations research.
  • At least seven years in applied data science, with substantial hands-on work in forecasting, predictive modeling, or marketplace systems.
  • Strong command of time-series forecasting and the practical trade-offs among accuracy, interpretability, and scale.
  • Proficiency in Python and SQL.
  • Experience with scikit-learn, PyTorch or TensorFlow, and forecasting libraries.
  • Track record of monitoring, troubleshooting, and maintaining models in production over time.
  • Clear communication and storytelling skills, including the ability to explain complex topics and influence executive stakeholders.
  • Able to lead ambiguous projects from inception through delivery, with initiative and intellectual curiosity.

Benefits

  • Equity.
  • Performance-based bonuses for eligible employees.
  • Medical, dental, and vision coverage for employees and their families, with employer contributions to Health Savings Accounts.
  • Pre-tax Health FSA, Dependent Care FSA, parking, and transit accounts.
  • 401(k) plan with employer matching.
  • Paid parental leave of up to 24 weeks for birth parents and 20 weeks for non-birthing parents.
  • Up to eight weeks of paid medical and caregiver leave.
  • Flexible paid time off for exempt employees and up to 15 days per year for non-exempt employees.
  • At least 13 paid company holidays.
  • Several coordinated, paid company office closures during the year.
  • Paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability insurance.
  • Annual learning and development stipend.
  • Daily office meals and meal-delivery credits where eligible.
  • Relocation assistance for eligible employees.
  • Charitable donation matching and wellness stipends may also be available.

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