Machine Learning Scientist: Personalization & Growth

OpenAI, Inc.; San Francisco (CA); On-site; USD 347,000 - 445,000; Full time

Job summary

OpenAI is seeking a data scientist to enter an unfamiliar product area, identify ML opportunities, and turn them into production interventions. You will own the work from problem definition through modeling, experimentation, and launch evaluation.

Projects include personalization, next-best-action, lifecycle management, promotion targeting, and models of retention and customer lifetime value. You will partner with engineering and product to ship impactful ML features.

Qualifications

• Experience shipping ML-powered product features.
• Strong knowledge of Python and SQL for data analysis and modeling.
• Ability to scope problems and communicate tradeoffs to cross-functional teams.

Responsibilities

• Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact.
• Build datasets, features, reproducible training workflows, and models.
• Translate predictions into product actions. Design experiments and use causal reasoning to establish whether those 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.

Skills

Python

SQL

Supervised learning

Applied ML systems

Recommendation systems

Personalization

Tools

dbt

Airflow

Flyte

Job description

OpenAI is seeking a data scientist to enter an unfamiliar product area, identify ML opportunities, and turn them into production interventions. You will own the work from problem definition through modeling, experimentation, and launch evaluation.

Projects include personalization, next-best-action, lifecycle management, promotion targeting, and models of retention and customer lifetime value. You will partner with engineering and product to ship impactful ML features.