Job Summary
A company that provides real estate services is in need of a Remote Staff Causality Data Scientist in San Francisco.
Candidates will be responsible for the following:
- Lead the efforts to advance our ability to learn causes and effects
- Define & lead pragmatic causal learning practice at a company level
- Identify limits of our current practices & continually incorporate state-of-the-art academia & industry
Position Requirements Include:
- Advanced expertise in: causal inference, econometrics, experimental design clinical trial
- Proficiency working with fast evolving data sets around complex business
- Strong strategic thinking and problem solving skills to apply academic knowledge on practical business questions
- Strong communication and leadership skills to influence non-technical audiences with analytical insights
- 7+ years of industry experience with advanced degree in a quantitative field
- Programming sufficiency: SQL, Python/R, or any other of your preferred languages