Director Data Science, Measurement
San Francisco, California
USD 160K-180K (estimate) Executive-level Full Time
Tasks
- Build measurement science roadmap
- Collaborate with product and engineering on measurement projects
- Communicate causal insights to stakeholders
- Deploy measurement pipelines to production
- Design counterfactual modeling experiments
- Develop MLOps best practices
- Develop causal machine learning frameworks
- Ensure data quality and production readiness
- Implement multi-touch attribution models
- Lead measurement science architecture
- Mentor and grow data science team
- Model reach and frequency estimation
- Run A B testing and causal inference
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | Audience Segmentation | B testing | Bayesian Hierarchical Models | Causal Machine Learning | Classification | Counterfactual Modeling | Data Management | Databricks | Difference-in-differences | Experimental Design | Heterogeneous treatment effects | Hierarchical models | Identity resolution | MLOps | Machine Learning | Meta learners | Model Evaluation | Panel Methodology | Propensity scoring | PySpark | Python | Regression | SQL | Spark | Synthetic control
Education
Roles
Data Science | Data Scientist | Director | Director Data | Director, Data Science | Scientist
Regions
Countries
States
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