Are you passionate about conducting research to drive real behavioral change and inform front line managers and leaders in making more effective decisions?
Would you love to see your research in practice, impacting Amazonians and improving the employee experience? If so, you should consider joining our team.
We are looking for a self-starter to join our EU Amazon Logistics (AMZL) Talent Development Team as Research Scientist. We are transforming the way we do development.
The Research Scientist will also provide research-based recommendations which will inform talent strategy. This person will develop assessment content, develop psychometrics, conduct validation studies, conduct job analyses, and complete organizational research studies.
The successful candidate will study the impact of development initiatives and how they correlate to other metrics such as promotion, attrition, absence, productivity and employee pulse surveys.
The Research Scientist will work with cross-functional teams to design and experiment with talent management solutions that support EU AMZL leaders.
Lead full life cycle of large scale research programs (Develop strategy, gather requirements, manage and execute)
Analyse results on a regular basis to report out impact of development initiatives
Lead and support the development of innovative strategies (assessments, performance based simulations, etc.) in all phases of content development, validation design, and implementation
Design research methodologies to identify and define characteristics of high performance
Combine quantitative and qualitative data to inform research
Influence executive project sponsors, business leaders, and development teams across the company
Manage large complex data sets and perform statistical / quantitative analyses
Bachelors Degree in Psychology or other relevant field
Proven experience in a quantitative field
Demonstrable experience in applying scientific principles to analyse products
Advanced statistics skills (Factor Analysis, Item Analysis, Cluster Analysis, Regressions)
Proficiency in at least one statistics tool (SPSS, R)
Adaptable, creative, and thrives in a fast-paced work environment
Excellent written and oral communication skills
Strong organizational skills, time management, and programme management skills
Masters or PhD in Psychology or other relevant field
Experience writing and communicating technical information for non-technical audience
Experience with data warehouses, machine learning, and building automated analytical systems