Principal Product Data Scientist
Tasks
- Advise product and engineering leaders on data driven decisions
- Apply experimentation and causal inference techniques
- Automate scale and improve reproducibility
- Build uplift models and multi arm bandit systems
- Communicate analytical insights to cross functional stakeholders
- Define and operationalize product and feature metrics
- Develop AI use cases from proof of concept to production
- Develop customer segmentation and predictive models
- Develop data science tooling platforms and frameworks
- Explore and integrate emerging AI technologies
- Lead product data science strategy
- Mentor and coach data scientists and analysts
- Own complex high profile analytical projects
- Scale impact with automation and self service data products
- Translate ambiguous questions into actionable recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | Agentic AI | B testing | Causal Inference | Classification | Clustering | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Arm Bandit | Natural Language | Natural Language Processing | Python | Quasi-experimentation | Regression | SQL | Statistical modeling | Uplift Modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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