Director, Data Science - Product Management
United States, San Mateo, CA
R
USD 273K-409K Executive-level Full Time
Tasks
- Advance predictive and decision products to productionization
- Create data science product culture hypothesis driven discovery
- Create investment cases and product strategies
- Define measurable outcomes for data science products
- Define success metrics and quality standards
- Drive product strategy and lifecycle ownership
- Establish criteria for exploratory analysis vs production decisions
- Guide product managers across product lifecycle
- Influence cross functional stakeholders on priorities and tradeoffs
- Lead and sponsor high impact ambiguous product initiatives
- Manage data science work as scalable product portfolio
- Oversee model evaluation and value analysis
- Partner on experimentation causal inference and incrementality measurement
- Translate business priorities into structured problem statements
Perks/Benefits
Skills/Tech-stack
APIs | Apache Spark | Audience targeting | CLV | Causal Inference | Churn | Churn Prediction | Decision Automation | Experimentation | Feature Store | Forecasting | Incrementality Measurement | LTV | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Personalization | Predictive Modeling | Propensity | Propensity Modeling | Python | Recommender Systems | SQL | Segmentation | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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