Job Summary

PhD Economist or Finance with track record of academic research. Strong background in statistics methodology, empirical methodology and economic theory. Must have taken PhD courses in Econometrics, and have experience working with big data ยท Hands on experience with at least one of the following: Matlab, R, Python, or Stata.

  • Minimum Qualification: MPhil / PhD
  • Experience Level: Entry level
  • Experience Length: No Experience/Less than 1 year

Job Description/Requirements

PhD level Economists able to teach others and solve very challenging applied econometrics questions. Economists will read academic published papers, explain them, and help re-create results. Economists apply rigorous applied econometric approaches, and help train other talented data scientists in the team.


We are looking for a new grad (or 4th/5th year PhD candidate) to join our team in building long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data.

Key Responsibilities:
  • Ability to read both theoretic and empirical academic peer-reviewed papers, explain methodology and replicate results
  • Applies deep expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other data scientists, both junior and senior.
  • Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.
  • Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks
  • PhD in Economics or related field
  • Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods
  • Strong research track record
  • Effective verbal and written communication skills

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