The AMER OpsTech Solutions (OTS) Operational Excellence (OE) team at Amazon is seeking a dynamic and skilled data scientist to provide actionable insights through statistical and exploratory data analysis.
Description:
Join a team that works closely with business stakeholders, conducting statistical analysis and delivering data-driven solutions to various problem statements. Utilize your expertise in supervised and unsupervised algorithms to analyze large volumes of datasets and establish automated data analysis methods.
Key Responsibilities:
- Collaborate with business stakeholders to understand problem statements.
- Conduct statistical analysis and provide data-driven insights and solutions.
- Implement automated methods for large data analysis.
About the Team:
The Operational Excellence Team at OTS provides critical IT support and technology deployment for Amazon’s Operations Technology Infrastructure, striving for proactive solutions and operational excellence.
Basic Qualifications:
- 1+ years of experience with data querying languages, scripting languages, or statistical/mathematical software.
- 2+ years of experience as a data/research scientist, statistician, or quantitative analyst in a complex, data-rich environment.
- 2+ years of professional or military experience.
Preferred Qualifications:
- Bachelor’s degree in a quantitative field.
- 1+ years of experience as a data scientist or in a similar role involving data extraction and statistical modeling.
- Proficiency with managing disparate data sets and AWS Solutions.
- Knowledge of statistical packages and business intelligence tools.
Additional Information:
Amazon is dedicated to fostering a diverse and inclusive workplace, offering equal opportunities regardless of race, gender, or disability. For applicants with disabilities, accommodations are available through Amazon’s Disability Accommodation page.
Apply now for the Data Scientist position in one of the following locations: Arlington, VA, USA | Austin, TX, USA | Boston, MA, USA | Jersey City, NJ, USA | Nashville, TN, USA | New York, NY, USA. Visit the Amazon job portal for more information on this role.