Product Data Scientist, Consumer Payments

• Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (e.g., VPs and Directors).
• Lead complex projects that combine investigative with organizational strategy, delivering clear and actionable insights that inform tangible business decisions.
  
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  
• Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence.
  

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• Experience working on statistical/casual inference techniques across experimentation and observational studies.
• Experience working in the payments, online ecommerce, or marketplace industry.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.