Senior Data Scientist, Product, Payments

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.