Amazon's PXTCS team aims to be the best and most diverse workforce globally by optimizing employee experience and performance across the entire employee lifecycle using science, research, and technology. They seek to identify mechanisms and process improvements that enhance both Amazon's operations and the well-being and value of work for Amazonians.
Requirements
- 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
- 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)
- effective communication skills in research fundamentals (e.g., research design, measurement, statistics) will also be a must
- 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
Responsibilities
- 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
Other
- 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?
- Inclusive Team Culture
- Flexibility
- Mentorship & Career Growth
