Basic qualifications: 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 2+ years of industry experience as a Data Scientist or equivalent)
3+ years of tech industry experience; subscriptions or logistics services preferred
Advanced SQL expertise
Understanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)
Ability and experience in extracting insights from data, and summarizing learnings / takeaways
Product data science or consulting experience
Advanced experimentation experience including multivariate and causal analysis
Experience working on web analytics (behavioral analytics)
Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Solid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)
Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones