Remote Staff Causality Data Scientist in San Francisco

Location: California

Compensation: To Be Discussed

Staff Reviewed: Thu, Feb 18, 2021

This job expires in: 18 days

Job Category: Information Technology

Remote Level: 100% Remote

Weekly Hours: Full Time

Employer Type: Employer

Career Level: Experienced

Education Level: Masters

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

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