Principal Product Data Scientist (Sean Stroud)
Tasks
- Advise product and engineering leadership on data driven decisions
- Apply experimentation causal inference and uplift modeling
- Build customer segmentation and predictive models
- Communicate analytical insights to cross functional stakeholders
- Develop and adopt data science tooling and platforms
- Explore and integrate emerging AI technologies
- Lead Data Science strategy for product
- Lead complex analytical projects and deliver recommendations
- Mentor and coach data scientists and analysts
- Scale analytics impact through automation and self service
Perks/Benefits
Skills/Tech-stack
Causal Inference | Classification | Clustering | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Armed Bandit | Natural Language | Natural Language Processing | Python | Regression | SQL | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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