Senior Data Scientist, Machine Learning
Skills
- Proficiency in Python and R programming languages.
- Strong data analysis and KPI assessment skills.
- Experience in machine learning model development.
- Familiarity with analytics tracking and ETL processes.
- Ability to collaborate with cross-functional teams including Data Engineering, Product, and Revenue Operations.
Responsibilities
- Build machine learning models to forecast risk across the insurance portfolio.
- Conduct platform-wide analytics to ensure product functionality and performance.
- Design and analyze A/B tests to optimize consumer-facing product touchpoints.
- Collaborate with Data Engineering and Product teams to implement proper analytics tracking and ETL processes.
- Support Revenue Operations with data platform development and financial modeling.
- Manage merchant testing and generate data for case studies and go-to-market strategies.
- Drive portfolio-wide revenue optimization and communication of personalized recommendations.
- Perform exploratory data analysis to develop metrics and KPIs across the Extend platform.
Education
- Bachelor’s degree in Data Science, Statistics, Mathematics, or a closely related field or foreign equivalent.
Benefits
- Competitive salary based on experience.
- Full medical, dental, and vision benefits.
- Stock options in an early-stage startup.
- Generous and flexible paid time off policy.
- 401(k) plan with financial guidance from Morgan Stanley.
- Collaborative and diverse team environment.
Average salary estimate
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