Data Scientist, Personalization & Machine Learning

Details

About the Team

The Data Science team works across product, growth, and monetization to help people get more value from OpenAI’s products. The team identifies opportunities for machine learning, builds and tests early solutions, and partners with engineering and product to bring successful approaches into production.

About the Role

This role focuses on entering unfamiliar product areas, finding useful machine learning applications, and turning them into working product interventions. The data scientist will own work from problem definition and data preparation through modeling, experimentation, and launch evaluation.

Projects include personalization, next-best-action recommendations, lifecycle management, promotion targeting, and models of retention and customer lifetime value. The role involves identifying opportunities, building proofs of concept, evaluating results, and iterating.

Responsibilities

• Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work based on user value, feasibility, and expected impact.
• Build datasets, features, reproducible training workflows, and models using tools appropriate to the task.
• Translate predictions into product actions.
• Design experiments and use causal reasoning to determine whether actions improve user and business outcomes.
• Partner with engineers on integration, serving or batch scoring, monitoring, and rollout.
• Stay involved through launch and iteration.
• Explain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt.

Requirements

• Experience building and evaluating applied machine learning systems that influenced a product or business decision, with clear ownership of the modeling work.
• Effective Python and SQL skills.
• Ability to investigate imperfect data, debug models, and make pragmatic implementation choices.
• Experience building and scheduling production scoring pipelines using dbt, Airflow, and Flyte.
• Understanding of supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it.
• Ability to scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds.
• Motivation to help people use AI effectively and learn unfamiliar product domains.
• Interest in challenging, impactful machine learning problems across multiple areas.
• Experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling is useful. Relevant experience from other domains is also welcomed.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company develops and safely deploys AI systems through its products.

OpenAI is an equal opportunity employer and does 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 characteristics. Background checks are administered in accordance with applicable law, and reasonable accommodations are available to applicants with disabilities.

Benefits

• Base salary range of $347,000–$445,000 per year.
• Generous equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, as well as commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.