Responsibilities
- Interact cross-functionally with a wide variety of teams, and work closely with Product Manager and Engineer leads to identify growth and quality opportunities for the product.
- Conduct analyses of datasets, applying statistical methods to solve problems, and presenting actionable recommendations to stakeholders. Your insights will influence product development, improve user experiences, and drive business outcomes.
- Understand, evaluate and develop measurement methodologies for GenAI models.
- Drive innovation by adapting to frequent pivots and comfortably managing the ambiguity of this rapidly evolving field
Basic qualifications
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications
- PhD degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, biostatistics, computer science, mathematics, physics etc).
- Experience working on a consumer-facing product.
- Experience with effective experimental design, training and in areas such as data analysis, survey design, statistical modeling.
- Familiarity with statistical tools/software packages (e.g., Python, SQL etc.).
- Ability to apply an appropriate quantitative/statistical model to real-world business problems.
- Ability to quickly learn new skills and adapt to a changing environment.
Tags & focus areas
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