Applied Data Scientist
Core
Build and deploy recommendation and personalization models that decide what viewers watch next and optimize app engagement.
Role type
Senior Applied Data Scientist (Recommendation Systems)
Builds
Recommendation engines, personalization features, and predictive models for retention and LTV.
Domain
Streaming / Entertainment / Consumer Tech
Deliverable
production ML models
Required skills
Deep learning, time series modeling, recommendation systems, A/B testing, SQL, model serving, feature engineering
Preferred skills
Sequence/session models, embeddings, LTV/churn modeling, MLOps, causal inference
Technologies
Deep learning frameworks, SQL, large data warehouses, model serving platforms
Responsibilities
Own recommendation and personalization systems end-to-end; adapt existing models to real data; ship models to production; design and analyze A/B experiments; partner with Product and Growth teams.
Seniority
Senior, hands-on IC
