About The Position

The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. The Benefits Science team is looking for an economist to transform complex business challenges into actionable scientific insights. In this role, you will partner directly with business leaders to design and evaluate pilots, build models using large-scale data, and scale successful prototypes into company-wide policies and programs. We're looking for someone who can combine rigorous scientific thinking with practical business acumen and is passionate about using economics to improve employee experiences at scale. The ideal candidate will thrive in interdisciplinary environments, working alongside engineers, data scientists, and business leaders from diverse backgrounds.

Requirements

  • PhD in economics or equivalent
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions

Nice To Haves

  • 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

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

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