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 2+ years of industry experience required and if Bachelor’s degree, a minimum of 4+ 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
7+ 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.