Senior Product Data Scientist
Tasks
- Apply causal inference modeling
- Architect predictive classification and clustering models
- Build statistical models for product recommendations
- Build uplift modeling
- Communicate data insights to cross functional stakeholders
- Define product and feature metrics
- Design and analyze A/B tests
- Evaluate agentic AI with proof of concept
- Lead product data science development
- Mentor product analysts in experimentation and modeling
- Scale product analytics impact with automation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Classification | Clustering | Experimentation | Language Models | Large Language Models | Machine Learning | Multi-Arm Bandit | NLP | Python | Quasi-experimentation | Regression | SQL | Statistical modeling | Uplift Modeling
Education
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