Key job responsibilities
Key job responsibilities
As an Data Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
- Design and conduct rigorous experimental design for production pilots to evaluate the impact of the solution and improve model performance
- Lead the end-to-end lifecycle of forecasting models, from research and experimentation through production launch including defining success metrics, obtaining stakeholder sign-off, and managing rollout
- Develop and deploy production grade ML and statistical models using Python, Scala, SQL, and related tools
- Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
- Translate complex science findings into clear insights and recommendations for technical and non-technical stakeholders at all levels
- Contribute to Amazon's scientific community and the broader research field through collaboration and presentation in top-tier venues
BASIC QUALIFICATIONS
- Bachelor's degree or above in a quantitative field, or Master's degree
- 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 processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
- Experience with forecasting and statistical analysis
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- 2+ years of ML or optimization and algorithms implementation experience
- Experience effectively communicating complex concepts through written and verbal communication
- Ability to write and maintain production level code is a plus
- Ability to maintain end to end data pipelines and metrics at scale
- Experience working on multi-team, cross-disciplinary projects
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