Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field or equivalent practical experience.
5 years of 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.
Experience with statistical data analysis and experimental design.
Experience with regression analysis for prediction and forecasting.
Nice to Haves:
Master’s degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, or Engineering).
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.
Experience with regression analysis, experiment design, sampling methods, causal inference, time-series analysis, and hierarchical models.
Experience in data analysis to solve business problems in complex business environments.
Excellent scientific writing, communication, and presentation skills.
What You'll Be Doing:
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
Use custom data infrastructure or existing data models as appropriate, using knowledge.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
Perks and Benefits:
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Equal opportunity and affirmative action employer.
Global company with an English proficiency requirement for all roles.