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