What You'll Do
- Analytics of product and users to generate insights
- Build Personalization products: eg, Content creation and evaluation
- User behavior understanding, eg: pricing and affordability elasticity.
- Offers and Promo products creation
- Long term value optimization
- Experimentation design, setup, analysis and deep dives
Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 2 years of industry experience as a Data Scientist or equivalent role if holding M.S. or Bachelors degree
- Strong Python or R foundation and expertise
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
Preferred Qualifications
- 2+ years of experience with ranking and recommender system, building personalization product
- Can use data and insights to driven decisions, help team shape the product vision and roadmap
- Analytical rigor in approaching product problems.
For New York, NY-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.