Data Scientist, Product, App Ecosystem and Trust

• Develop, own and evolve investigative frameworks providing a source of truth measures for the organization.
• Work closely with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPIs) and other success measurements.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
• Conduct in-depth revealing opportunities and risks, enabling the team to understand trends and prioritize resources.
• Work with large, internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
  

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 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 plus a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• Experience in addressing relatively well-scoped business problems and developing corresponding investigative solutions, including extracting and manipulating large datasets, and applying statistical methods to arrive at answers.
• Ability to handle multiple assignments simultaneously in a fast-paced environment.
• Ability to present to stakeholders and communicate effectively with highly technical leadership teams.
• Deep interest and aptitude in data, metrics, analysis and trends; applied knowledge of measurement, statistics and program evaluation.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 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 plus a Master's degree).