Applied Data Scientist, Personalization & Machine Learning
Core
Identify ML opportunities in unfamiliar product areas, build models for personalization and recommendations, and translate predictions into product actions to improve user and business outcomes.
Role type
Applied Data Scientist (Personalization & Machine Learning)
Builds
Production ML models, scoring pipelines, and product interventions for OpenAI products
Domain
AI / Machine Learning / Personalization
Deliverable
production ML models
Required skills
Python, SQL, supervised learning, experimentation design, causal reasoning, production scoring pipelines, dbt, Airflow, Flyte
Preferred skills
Recommendation systems, personalization, growth modeling, retention modeling, customer lifetime value (CLV), treatment-effect modeling
Technologies
dbt, Airflow, Flyte
Responsibilities
Define decision problems with partners, build datasets and reproducible training workflows, design experiments to evaluate product actions, partner with engineers on integration and rollout, document methods and explain results
Seniority
Mid-Senior, hands-on IC
