
Senior Data Scientist, Product, Payments
4 weeks ago
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
- 4 years of experience with databases, SQL coding with standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R, Python).
- Experience in working on statistical/casual inference techniques across Experimentation and Observational studies.
- Experience with working in the Digital Ads or Payment industry.
- Experience in driving incrementality value estimation through causal methods.
- Experience as a business/quantitative analyst in e-commerce, payments or financial services.
- Ability to manage, organize work and a team of analysts, with excellent communication skills with executive management.
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Staff Data Scientist
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