Data Scientist

- Bachelor's degree
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Master's degree
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Are you excited about driving high-visibility, strategic analytics solutions to streamline Amazon's capacity planning? NACP - Analytics & Science is seeking an experienced Data Scientist to lead data science and forecasting initiatives in partnership with Data Engineers, BIEs, Supply Chain leaders, and Engineers. Our mission is to simplify analytics with innovative data science/AI products.

This role is for a motivated individual with a strong statistical and technical background to join us as a Data Scientist. You will be responsible for leading best-in-class data science initiatives, including forecasting and utilizing generative AI tools to address supply chain planning bottlenecks and improve Placement and Cost to Serve metrics for Amazon warehouses. You will bring your data science and statistics background to support key capacity planning initiatives. You will continue to raise the bar for creating scalable, efficient, and accurate models utilizing large-scale data sets.

Key job responsibilities
- Develop new forecasting models or improve existing approaches using scalable techniques.
- Extract data for analysis and model development from large, complex datasets to explain demand trends.
- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
- Drive innovation and best practices in applied research across the Amazon research science community.