Senior Product Data Scientist
Tasks
- Advise product and engineering leadership on data driven decisions
- Apply best practices in experimentation causal inference and uplift modeling
- Build automation scalability and reproducibility for analytics
- Communicate complex analytics to cross functional stakeholders
- Create customer segmentation and predictive models
- Define implement and operationalize product and feature metrics
- Deliver complex analytical projects for commercial and customer value
- Develop data science tooling platforms and frameworks
- Explore and integrate emerging AI technologies
- Lead AI initiatives from proof of concept to production
- Lead Data Science strategy for product
- Mentor and develop data scientists and analysts
- Scale data science impact through automation and self-service tools
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Causal Inference | Classification | Clustering | Data analytics | Data segmentation | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Armed Bandit | Natural Language | Natural Language Processing | Python | Regression | SQL | Statistical modeling | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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