Data Scientist, Research, App Safety Engineering

Minimum qualifications:

1. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
2. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

1. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
2. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

Responsibilities

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