Principal Product Data Scientist
Tasks
- Advise product and engineering leadership on data driven decisions
- Apply experimentation causal inference and uplift modeling
- Build customer segmentation and predictive models
- Communicate analytical results to cross functional stakeholders
- Develop AI agent use cases from proof of concept to production
- Develop data science tooling platforms and frameworks
- Drive adoption of automation scalability and reproducibility
- Explore and integrate emerging AI technologies
- Lead Data Science strategy for product
- Lead complex analytical projects from ambiguous questions to recommendations
- Mentor coach and develop data scientists and analysts
- Scale data science impact through automation and self service
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Causal Inference | Classification | Clustering | Experimentation | Language Models | Large Language Models | Machine Learning | Multi-Arm Bandit | NLP | Python | Regression | SQL | Statistical modeling | Uplift Modeling
Education
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