Data Scientist II, People eXperience & Technology Central Science (PXTCS)

Are you passionate about conducting research to develop and grow leaders Would you like to impact more than 1M Amazonians globally and improve the employee experience

If so you should consider joining the People eXperience & Technology Central Science (PXTCS) team. Our goal is to be best and most diverse workforce in the world. PXTCS uses science research and technology to optimize employee experience and performance across the full employee lifecycle from first contact through exit. We use economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

This individual should be skilled in core data science tools and methods icnluding SQL a statistical software package (e.g. R Python or Stata) inferential statistics and proficient in machine learning.

This person should also have strong business acumen to navigate complex ambiguous business challenges they should be adept at asking the right questions knowing what methodologies to use (and why) efficiently analyzing massive datasets and communicating results to multiple audiences (e.g. technical peers functional teams business leaders). In order to move quickly deliver high-quality results and adapt to ever-evolving business priorities effective communication skills in research fundamentals (e.g. research design measurement statistics) will also be a must.

Major responsibilities will include:
- Managing the full life cycle of large-scale research initiatives across multiple business segments that impact leaders in our organization (i.e. develop strategy gather requirements manage and execute)
- Serving as a subject matter expert on a wide variety of topics related to research design measurement analysis
- Working with internal partners and external stakeholders to evaluate research initiatives that provide bottom-line ROI and incremental improvements over time
- Collaborating with a cross-functional team that has expertise in social science machine learning econometrics psychometrics natural language processing forecasting optimization business intelligence analytics and policy evaluation
- Ability to query and clean complex datasets from multiple sources to funnel into advanced statistical analysis
- Writing high-quality evidence-based documents that help provide insights to business leaders and gain buy-in
- Sharing knowledge advocating for innovative solutions and mentoring others

Inclusive Team Culture
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 1M employees across hundreds of chapters around the world. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which reminds team members to seek diverse perspectives learn and be curious and earn trust.

Flexibility
It isnt about which hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies take on bigger opportunities or get to the next level well help you get there. Our business is growing fast and our people will grow with it.

About the team
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines the talents of science and engineering to develop innovative solutions to make Amazon Earths Best Employer. We leverage data and rigorous analysis to help Amazon attract retain and develop one of the worlds largest and most talented workforces.

- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.