Data Scientist job at Amazon

Job Description

Amazon is looking for an outstanding Data Scientist to be part of our HR Analytics team. As a member of the HR Analytics team, you will get the opportunity to be part of leading-edge research and analysis to answer some of the most interesting questions about Amazon’s workforce. You will work closely with the business and technical teams to perform compelling analysis that delivers actionable results. You will also build predictive workforce models that have a direct impact on day-to-day decision-making and our HR investments.

Responsibilities include:

Independently analyze human resources data in order to identify significant differences, relationships and trends
Develop predictive workforce models for attrition, high performance and recruiting demand
Visualize results of statistical analyses in the form of graphs, charts, tables and scorecards
Participate in development and expansion of HR Data Mart and Recruiting Analytics programs through design of reporting catalog
Drive the collection of new data and the refinement of existing data sources
Provide expert level consulting to HR and business leaders to develop appropriate reports, metrics and research
Summarize written findings, publicize results and engage with senior leadership as appropriate

Thank you for your interest in Amazon! If this position is of interest to you and you feel your background is a good match for what we are looking for, I encourage you to do the following. Please take the time to break out each of the basic requirements as well as any preferred requirements and email me directly after applying online at keithmor@amazon.com. List your relevant experience with each of the requirements as a way to paint a clearer picture of how you match what we are looking for. Thanks again and I look forward to hearing from you!

Basic Qualifications

M.S. in a relevant technical field, or B.S. in a relevant field and 4+ years experience
Extensive experience solving analytical problems using statistical approaches
Comfort with developing predictive models
Background in relational databases and SQL, data transformation (ETL), data mining, ad-hoc analysis and metrics presentations
Robust sense of accountability: sound personal judgment, capacity to handle confidential information appropriately, effectively escalate issues
Impeccable customer service focus with a demonstrated desire to exceed expectations; a team player with a solid work ethic
Great organizational skills and attention to detail; you are able to prioritize multiple tasks simultaneously without sacrificing the ability to dive deep
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Preferred Qualifications

Expert with R, Stata, SAS or other statistical language
Familiarity with data visualization tools such as Tableau highly valued
Knowledge of Data Warehouse, Business Intelligence and reporting fundamentals
Experience with PeopleSoft or other HRMS systems a plus

Interested in this position?

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