Senior Product Data Scientist
Tasks
- Advise product and engineering leadership on data driven decisions
- Apply experimentation and causal inference best practices
- Build customer segmentation and predictive models
- Communicate analytical insights to cross functional stakeholders
- Define product feature level metrics
- Develop AI use cases from proof of concept to production
- Develop data science tooling platforms and frameworks
- Drive next generation analytics automation scalability and reproducibility
- Explore and integrate emerging AI technologies
- Lead Data Science strategy for product
- Mentor and coach data scientists and analysts
- Own complex high profile analytical projects
- Scale data science impact through automation and self service
- Translate ambiguous questions into actionable recommendations
- Use uplift modeling for decision making
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Agentic AI | Automation | Causal Inference | Classification | Clustering | Data Modeling | Experimentation | Language Models | Large Language Models | Machine Learning | Multi-Arm Bandit | NLP | Python | Regression | Reproducibility | SQL | Scalability | Statistical modeling | Uplift Modeling
Education
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