Applied Scientist, Rufus Experience Science

Amazon • Palo Alto, CA

22d • Onsite

About The Position

The Amazon Rufus Experience Science team is looking for a highly motivated Scientist to build next-generation shopping experiences. This role involves creating conversational shopping journeys for customers to discover products, compare options, find inspiration, or resolve post-purchase issues. The scientist will collaborate with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across various Rufus customer-facing features. The ideal candidate enjoys applying research to real-world problems, seeing their deployed models improve the shopping experience. The role involves working in a fast-paced environment, driving rapid model development and experimentation, with access to Amazon’s extensive datasets, AWS computational resources, and a network of world-class science and engineering leaders.

Requirements

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice To Haves

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

Responsibilities

• Execute the science vision and roadmap.
• Develop data-driven solutions for the real-world, large scale problems.
• Deliver and maintain software and models in the production environment.
• Collaborate cross-functionally between product, design, and engineering.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level