Applied Scientist, you'll develop machine learning, forecasting, and prediction models and algorithms. Your first project will focus on trailer imbalance forecasting and safety stock optimization to improve our equipment re-balancing strategy, where you'll own the prediction models and grow your scope over time. Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers.
Key job responsibilities
- Design and develop machine learning, forecasting, and other prediction models that enhance our optimization and planning systems.
- Build models and algorithms from prototype to production-level systems.
- Translate ambiguous business problems into modeling approaches, and drive the technical design with product, engineering, and operations partners.
- Influence key business decisions through rigorous modeling and analysis.
- Communicate results and recommendations to scientific and business audiences.
A day in the life
- Analyze data to investigate a business problem or model performance and identify improvements
- Brainstorm new algorithmic strategies or business opportunities with fellow scientists
- Leverage GenAI to build and test your new model features
- Run a simulation or experiment to evaluate your model's performance
- Meet with product and tech partners to review project requirements, data, design, or other project decisions
- Review code changes or a design document from a fellow scientist or engineers
- Write and present a paper documenting algorithm features, results, and recommendations
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- Experience building machine learning models or developing algorithms for business application
- 1+ years of programming in Java, C++, Python or related language experience
- Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience with forecasting and statistical analysis
- Experience in optimization mathematics such as linear programming and nonlinear optimization
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 - 142,800.00 - 193,200.00 USD annually