Amazon's People Experience and Technology Central Science (PXTCS) team is seeking a data scientist to identify products, mechanisms, and process improvements that enhance Amazonians' well-being and their ability to deliver value for Amazon's customers, by making Amazon PXT the most scientific human resources organization in the world.
Requirements
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Responsibilities
- Lead Data Science solutions from beginning to end.
- Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
- Build Machine Learning and statistical models to solve specific business problems.
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify trends and support optimal decision making.
- Work closely with other researchers to design and implement advanced causal and predictive statistical models.
- Collaborate with Engineers to build scalable solutions that align with science priorities.
Other
- Deliver with independence on challenging problems with complexity and ambiguity.
- Coordinate with senior business partners and our interdisciplinary team of UX researchers, data scientists, economists, and engineers to deliver real time insights into the corporate employee experience at Amazon.
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
