Director, Data Science
Core
Lead customer intelligence and personalization for entertainment brands, building predictive models to estimate customer lifetime value and optimize engagement across mobile apps, newsletters, and digital touchpoints.
Role type
Director, Data Science (Leadership + Hands-on IC)
Builds
Predictive models for customer lifetime value, segmentation, and personalization; A/B testing frameworks; product funnel and engagement analytics.
Domain
Media & Publishing / Customer Analytics / Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical modeling, machine learning, causal inference, survival analysis, time series analysis, Python, SQL, team leadership, product analytics, experimentation design, NLP, Bayesian methods, reinforcement learning/bandits, forecasting, lifecycle modeling.
Preferred skills
Experience with large-scale search and recommendation systems, BigQuery, advanced experimentation techniques (multivariate, CUPED), Claude Code/Codex integration.
Responsibilities
Lead and grow a data science team; analyze customer interactions across app, web, social, and email; own product funnel and engagement analysis; partner with Product and Editorial to translate insights into differentiated experiences; design A/B testing experiments; advocate for data capabilities and align initiatives with company objectives.
Seniority
Director, strategic leadership with hands-on technical execution