Principal Product Data Scientist
Tasks
- Advise product and engineering leadership on data driven decisions
- Apply experimentation causal inference and uplift modeling
- Automate scale and improve reproducibility of analytics
- Build AI agents and agentic AI use cases from proof of concept to production
- Build customer segmentation and predictive models
- Communicate analytical insights to cross functional stakeholders
- Define implement and operationalize product metrics
- Develop data science tooling platforms and frameworks
- Explore and integrate emerging AI technologies
- Lead Data Science strategy for product
- Lead complex analytical projects and deliver actionable recommendations
- Mentor coach and develop data science talent
- Scale impact through automation self service and data products
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Causal Inference | Classification | Clustering | Data Science | Data Science Automation | Data product | Data reproducibility | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Armed Bandit | NLP | Natural Language | Natural Language Processing | Python | Regression | SQL | Scalability | Statistical modeling | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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