Applied Scientist, SCOT Forecasting and Labs - CIV Team

About the role

The Consumer Instock Value (CIV) team within Amazon's Supply Chain Optimization Technology (SCOT) Group develops and manages systems that estimate the long-term impact of inventory availability and delivery speed changes at the product level. Our estimates are crucial inputs for multiple production systems across Amazon's supply chain planning, helping teams make critical decisions about inventory management, selection, and placement.

Key responsibilities

• Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation
• Working with technical and non-technical customers to design model improvements and communicate results
• Collaborating with our dedicated software team to create production implementations for large-scale data analysis
• Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
• Presenting research results to our internal research community
• Leading training and informational sessions on our science and capabilities

Basic qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in designing experiments and statistical analysis of results
• Experience building machine learning models or developing algorithms for business application

Preferred qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Pay

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually. 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.