Senior Data Scientist, Research, App Ecosystem and Trust

• Work with large datasets and solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and oral delivery of results to business partners.
• Collaborate closely with stakeholders in Product Management, Engineering, and Operations teams to define relevant questions, objectives, and metrics; identify and implement quantitative methods to answer those questions.
• Develop, own, and evolve methodologies and frameworks, providing source-of-truth measures for the organization.
• Establish a comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data-driven solutions to facilitate efficiency improvements.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD.

Preferred qualifications:

• PhD in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
• 4 years of experience, including expertise with statistical data analysis on real-world data such as ML modeling, experimentation, sampling methods, and causal inference methods.
• Experience with machine learning on large datasets.
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
  
• Ability to demonstrate leadership and self-direction, with a willingness to both teach others and learn new techniques.
• Ability to demonstrate skills in selecting the right methodology given a data analysis problem.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD.