Sr. Data Scientist, Inc. Shoreline, WA
Amazon Worldwide Operations' (WWOps) Learning and Talent Management (LTM) Team guides the talent strategy and invents solutions that improve mean levels of performance for the largest workforce within Amazon, one of the fastest growing companies in the world. LTM develops science based processes and tools; identifies and develops high-potential talent to fill future organizational needs; onboards new employees both at scale and through personalized learning plans for executives; and provides lifecycle leadership and functional learning solutions. WWOps is comprised of hundreds of thousands of Amazon employees across multiple global order fulfillment, transportation, corporate, and customer service organizations.

LTM is hiring a Data Scientist who will work with cross-functional teams to develop talent and training assessments and simulations that inform long-term talent decisions with measureable impact. This person will leverage data on success factors within a wide variety of roles (technical and non-technical) across WWOps to design and experiment with new hiring and talent management solutions that predict employee success years into the future. The role will be part of a dedicated Organizational Psychology team creating systems and processes that will enable science driven talent decisions at scale while enabling individual employees to make developmental choices now that support future success with a high degree of certainty.

Key Responsibilities

* Extract data from multiple sources across Amazon and evaluate usability for assessment research

* Perform advanced statistical/quantitative analyses on large and complex data sets

. Create both static and dynamic data visualizations

* Identify, leverage, and curate data that defines characteristics of high performance

* Partner with internal and external technology teams for solution execution

* Drive effective teamwork, communication, and collaboration across multiple stakeholder groups