Staff Data Scientist, Ads Delivery
San Francisco, CA, US; Remote, US
R
USD 164K-339K Senior-level Full Time
Tasks
- Apply causal inference methods
- Bridge proxy metrics to long term business impact
- Design and productionize machine learning evaluation frameworks
- Design experimentation instrumentation and metrics
- Develop ads delivery understanding
- Develop forecasting systems
- Develop recommendation systems
- Lead ads delivery project work
- Mentor scientists and drive technical excellence
- Quantify full funnel opportunities and risks
- Translate complex data questions into business insights
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Causal Effects | Causal Inference | Experimentation | Forecasting | Machine Learning | Observational studies | Prediction | Product Analytics | Python | R | Ranking | Recommendation Systems | SQL | Statistical modeling
Education
Roles
Regions
Countries
States
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