Data Scientist I, Workforce Intelligence PXT-Talent

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Amazon's mission is to be the world's most customer-centric company. The Workforce Staffing (WFS) organization is at the forefront of that mission by hiring the hourly fulfillment associates who make that mission a reality. In order to drive necessary growth and the continuous scaling of Amazon's associate needs within a limited employment environment, Amazon has formed the Workforce Intelligence (WFI) team. This team is set to reinvent how Amazon attracts, communicates with, and ultimately hires its hourly associates. This team is in charge of multi-layered research and program implementation to drive deep learning, process improvements, and strategic recommendations to global leadership. Are you passionate about data? Do you enjoy challenging the status quo? Are you excited by complex and difficult problems? If so, this might be the team for you. The Data Scientist will be responsible for creating advanced algorithms, predictive and prescriptive models, as well as the necessary data models to facilitate large-scale warehouse associate hiring for WFS. This role acts as an internal consultant to the marketing, business operation and candidate experience teams, covering responsibilities such as improving the large-scale hiring process, analyzing large amounts of candidate/associate data and strategizing to provide the best candidate hiring experience for WFS warehouse associate candidates. We are open to hiring candidates to work from one of the following locations: Arlington, VA, USA Basic Qualifications: - 1+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) - 2+ years of experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and large data sources Preferred Qualifications: - 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) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. Individuals with disabilities who would like to request an accommodation can visit https://www.amazon.jobs/en/disability/us.