Senior Applied Scientist , Research and Applied Science Team, PXT Senior Talent and Transformation

About the role

The Senior Talent and Transformation Science team within Amazon's People eXperience and Technology organization works on developing systems that shape how Amazon identifies, develops, and invests in its most senior leaders. This role involves translating validated scientific methodologies into deployable systems that any HR team can run independently.

Responsibilities

• Own the production implementation of the team's scientific systems from end to end.
• Translate validated scientific methodologies into code that runs reliably, scales, and does not require a scientist standing next to it.
• Make architectural and tooling decisions that determine how scientific methods get encoded into software.
• Define and hold the engineering quality bar for scientific code across the team.
• Build LLM-powered pipelines that operationalize the team's people science.
• Extend and adapt scientific techniques at the product level when established approaches fall short.
• Contribute to the design and execution of quasi-experimental evaluations of people programs.
• Mentor scientists on the team on software engineering practices and applied implementation.
• Communicate implementation trade-offs and system design decisions clearly to product and HR partners.

Requirements

• Experience leading the architecture and design of new and current systems or building complex software systems.
• PhD in industrial-organizational psychology, organizational behavior, economics, statistics, computer science, or a related quantitative discipline.
• 5+ years of applied research experience after the PhD, with a demonstrable track record of delivering scientifically complex solutions into production systems.
• Strong software engineering skills in Python, including the ability to design, build, test, and maintain production pipelines independently.
• Deep scientific expertise in at least one of the following areas and enough working knowledge in the others to contribute meaningfully across the team's full research portfolio: psychometric measurement and validation, causal inference with observational and quasi-experimental data, or applied LLM systems including prompt orchestration and evaluation.

Qualifications

• Experience serving as the primary or sole implementer of scientific systems on a research team.
• Hands-on experience building LLM pipelines including retrieval-augmented generation, automated scoring, and LLM-as-judge evaluation harnesses.
• Applied experience with quasi-experimental methods such as difference-in-differences, regression discontinuity, matching, or synthetic control.
• Established and modeled software engineering best practices, such as testing, documentation, and code review.

Skills

• Technical skills in Python, LLM systems, and software engineering.
• Scientific expertise in psychometrics, causal inference, and applied LLM systems.
• Ability to communicate technical decisions clearly to non-technical stakeholders.

Benefits

Amazon offers comprehensive benefits including medical, dental, vision, prescription, life insurance, and retirement plans. The company also provides paid time off, parental leave, and mental health support.

Pay

Final compensation will be determined based on factors including experience, qualifications, and location. The base salary range for this position is listed below.

• USA, NY, New York - $183,800.00 - $248,700.00 USD annually
• USA, VA, Arlington - $167,100.00 - $226,100.00 USD annually
• USA, WA, Seattle - $167,100.00 - $226,100.00 USD annually

Schedule

Full-time position.