Principal Product Data Scientist
Tasks
- Advise product and engineering leadership
- Apply uplift modeling for decision making
- Automate scalable reproducible analytics
- Build customer segmentation models
- Communicate complex analytics to cross functional stakeholders
- Define and operationalize product feature level metrics
- Develop data science tooling platforms and frameworks
- Develop predictive models for product roadmap optimization
- Explore and integrate emerging AI technologies
- Identify develop and deploy AI use cases from POC to production
- Implement experimentation and causal inference best practices
- Lead Data Science strategy for product
- Lead complex high profile analytics projects
- Mentor coach and develop data scientists and analysts
- Scale impact with automation self service and democratization
- Translate ambiguous questions into actionable recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Causal Inference | Classification | Clustering | Experimentation | Language Models | Large Language Models | Machine Learning | Multi-Armed Bandit | NLP | Python | Regression | SQL | Statistical modeling | Uplift Modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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