Economist/Core Data Scientist

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Job Description - Economist/Core Data Scientist

Key Qualifications

  • Strong background in statistics, econometrics, operations research, or quantitative marketing: causal inference, time series analysis, mathematical modeling, linear and non-linear regression, stochastic modeling, mathematical optimization and consumer decision making theory.
  • Expert R/Python programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL)
  • Experience in design/development of complex decision-making systems is good to have
  • Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule
  • Advocate and practitioner of version control and reproducible code
  • Excellent verbal and written communication skills, in both Mandarin Chinese and English

Description

  • Work with various teams to understand business problems, provide data products and business solutions
  • Build models to estimate the causal impact of new programs released across different scenarios
  • Analysis data to find what drives business performance, including but not limited to multi-touch-attribution and media mix modeling efforts
  • Participate in research to design and develop complex decision-making systems
  • Develop internal visualization and modeling tools to facilitate data-driven decisions
  • Present results and other analytical findings to business partners

Education & Experience

- PhD in Economics, Operations Research, Marketing Science, or related fields - M.S. in related field with 5+ years experience applying econometric models to business.

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