What You'll Do
- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
- Design experiments and interpret the results to draw detailed and impactful conclusions.
- Define how our teams measure success, by developing metrics, in close partnership with cross functional partners..
- Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the product and develop technical roadmaps.
- Collaborate with other Scientists and Engineers to build and improve data foundations.
Basic Qualifications
- PhD, M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor’s degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent)
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Experience with dashboard/data visualization toolings.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
Preferred Qualifications
- 5+ years experience as a Data Scientist or equivalent.
- Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
- Experience guiding and mentoring other Data Scientists.
- Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar.
- Experience synthesizing data analyses into clear insights to influence product direction.
For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.