Sr. Director, Data Science & Experimentation
Tasks
- Architect data pipelines and feature stores
- Deploy model-serving infrastructure
- Design and deploy predictive models
- Develop causal inference frameworks
- Evaluate emerging AI capabilities
- Increase experimentation velocity and statistical rigor
- Integrate machine learning into marketing workflows
- Lead growth measurement team
- Own experimentation platform and methodology
- Present analytical findings to leadership
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Bayesian Methods | Causal Inference | Churn modeling | Customer Lifetime Value | Customer Lifetime Value Prediction | Data Pipelines | Data Science | Databricks | Decision Making | Difference-in-differences | Experimentation Design | Feature Stores | Forecasting | Google BigQuery | Lifetime Value Prediction | Lookalike modeling | Machine Learning | Marketing Mix | Marketing Mix Modeling | Marketing attribution | Mix Modeling | Model Serving | Multi-Touch Attribution | Multi-touch) | Propensity Modeling | Python | Real Time | Real-time decision-making | Recommendation Systems | SQL | Value Prediction
Education
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