Responsibilities
Partner closely with Product and Engineering to shape product strategy using rigorous scientific inputs
Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
Design, implement and interpret innovative data science experiments to empower data-driven decisions and products at scale
Drive the collection of new data and the refinement of existing data sources
Create analyses that tell a story focused on insights, not just data
Desired Skills and Qualifications
2+ years of industry experience in Data Science
A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences, Operations Research)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics, experimentation, and causal inference
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact