Research Scientist

Job ID: 1638129 | Services LLC


Are you excited at the prospect of conducting research to improve the employee and manager experience at Amazon? Would you like to see your findings have a real impact on key HR programs and processes? Join the People Analytics, Insights, and Research team that supports three of Amazon’s most exciting businesses: Devices & Services (the innovator behind Alexa, Kindle, and Echo), Global Media and Entertainment (the business that produces TV shows, new gaming technologies, and runs Amazon music), and Advertising (one of the fastest growing businesses at Amazon).

We are seeking a Research Scientist with expertise in mixed-methods research preferably in social science and behavioral research but are also open to experience in public health, economics, or similar fields. In this role, you will support research efforts within the Recruiting, Talent Management, and Leadership & Development space. You will help identify new impactful areas for research, design and conduct experiments, and partner with a diverse set of stakeholders to measure and evaluate the effectiveness and impact of our programs and processes.

The ideal candidate should have strong problem solving skills, good business acumen, as well as an expertise in both qualitative and quantitative methods and must work as thought partner with HR leaders. 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). Translating business and stakeholder needs into realistic and actionable scientific research will be a regular challenge in this role.

Responsibilities include:
· Partnering closely and driving effective collaborations across multi-disciplinary science, analytics, HR, and business teams.
· Designing, developing, and executing qualitative and quantitative data collection and experimentation. Experience with survey development and quasi-experimental design is preferred.
· Identifying, querying, joining, and cleaning data sources for historical research and hypothesis testing.
· Conducting rigorous statistical analyses and providing peer review for others.
· Communicating findings and business impact effectively (written and verbally) with both technical and non-technical stakeholders.
· Consulting on appropriate analytic methodologies and scoping research requests.


· PhD or equivalent Master's degree plus 4+ years of research experience in a quantitative field
· Experience investigating the feasibility of applying scientific principals and concepts to business problems and products
· PhD or equivalent Master's degree plus 4+ years of research experience in a quantitative field
· 1-3 years of experience conducting applied research
· Strong statistical analysis experience (regression, ANOVA, factor analysis, propensity-score matching, causal techniques)
· Experience in experimental design, survey development/item writing, and validation
· Proficiency in at least one statistical programming language (R, Python, SPSS, Stata)
· Experience with SQL
· Proficient communications (written and verbal) of technical information for non-technical audience


· 3-5 years of relevant experience described above
· Proficiency in R or Python
· Experience leading complex (beginning to end) research projects with multiple stakeholders
· Proven experience providing thought leadership and consultation to educate and influence key stakeholders, including demonstrating the downstream business impact of your research recommendations
· Experience with quasi-experimental design and observational studies.
· Advanced statistics and machine learning experience (Ridge/lasso/hierarchical regressions, hierarchical linear modeling, longitudinal data analysis, survival analysis, SEM/Path Analysis)
· Experience using and researching with single-item measures
· Highly adaptable, creative, and thrives in a fast-paced work environment