About The Position

The Benefits Science team drives evidence-based decision-making across BXT (Benefits, eXperience & Technology) through causal evaluation, structural modeling, conjoint experiments, and the creation of tools that scale our analytic capabilities. We transform complex data into actionable insights that enhance the employee experience and advance innovative benefits design. We are looking for an economist who is able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will collaborate with business partners to design and evaluate pilots, estimate models on large scale data, develop and deploy conjoint surveys, and transform successful prototypes into improved policies and programs at scale. This job requires analysis of complex health claims data. Economists with experience working with claims data and an understanding of the structure of the health care industry are strongly encouraged to apply. Key job responsibilities - Design and conduct rigorous evaluations of benefits programs - Support the development and application of structural models - Develop experiments to evaluate the impact of benefits initiatives - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.

Requirements

  • PhD in economics or equivalent
  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience with handling of large datasets

Responsibilities

  • Design and conduct rigorous evaluations of benefits programs
  • Support the development and application of structural models
  • Develop experiments to evaluate the impact of benefits initiatives
  • Communicate complex findings to business stakeholders in clear, actionable terms
  • Work with engineering teams to develop scalable tools that automate and streamline evaluation processes

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service