Workplace Health and Safety Research Scientist, Safety Sentiment Team

US, WA, Virtual Location - Washington

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Job summary
Are you passionate about conducting research to drive changes and improve the employee experience of a million Amazonians globally? The Worldwide Workplace Health and Safety (WHS) team is hiring a Research Scientist to help us lead research initiatives to measure and improve Amazon’s organizational culture as it relates to health and safety of our employees. The role will drive behavioral and organizational changes, support data-driven decision making by business leaders, and facilitate the development of innovative products that improve the safety outcomes and overall employee experience across our global operations.

The role will collaborate with internal technical, business WHS and operations teams, to support the development, implementation and ongoing measurement of safety programs and initiatives to meet our vision of being Earth's safest place to work.

The ideal candidate should have a strong business acumen as well as a broad technical skillset and flexible analytical approach. This role will need to navigate complex and ambiguous business challenges by asking the right questions, understanding what methodologies to employ, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders).

Major responsibilities will include:
  • Conduct primary research using a wide range of qualitative and quantitative methods to identify intervention opportunities in the areas of associate engagement and leadership behavior.
  • Conduct statistical analysis to measure the impact of engagement and leadership programs on Amazon's safety culture and safety outcomes. Conduct focus groups and user interviews to augment findings from quantitative analysis.
  • Identify appropriate channels to conduct research projects in order to maximize effect.
  • Develop high-quality, evidence-based documents that provide insights to business leaders and gain stakeholder buy-in.
  • Collaborate with other Amazon scientists with expertise in areas such as machine learning, econometrics, psychometrics, natural language processing, computer vision, forecasting, and optimization
  • Working with the Safety Sentiment Team, coordinate with different stakeholders to develop, pilot and deploy programs to encourage associates and leaders towards safe behaviors with the goal of reducing occupational injuries.

Basic Qualifications


  • PhD in Education, Learning Sciences, Education Psychology, Organizational Behavior, IO Psychology, or a related field
  • 5+ years of experience designing and running a full range of research methods: qualitative and quantitative, attitudinal and behavioral, with deep expertise in one or more areas. Experience with qualitative research methodologies such as ethnography, and focus groups will be strongly preferred
  • Proficient with SQL and at least one scripting language (e.g., R, Python)
  • Excellent written and verbal communication skills for both technical and non-technical audiences

Preferred Qualifications

  • Experience with safety programs or safety management systems.
  • Ability to engage business partners and stakeholders to solve ambiguous business problems with appropriate choice of data science solutions
  • Experience in research design methodologies for experiments, and quasi-experimental studies




Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Vision Econometrics Machine Learning NLP PhD Python R Research SQL Statistics

Perks/benefits: Career development Flex hours

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  4  0

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