Senior Applied Scientist, Selling Partner Growth

Amazon • Seattle, WA

9h

About The Position

Are you passionate to join an innovative team of scientists and engineers who
use machine learning and AI techniques to create state-of-the-art solutions to
help seller succeed on Amazon? The Selling Partner Growth org is looking for a
Senior Applied Scientist to lead us on our mission to understand demand side
signals on Amazon, and empower sellers to grow their business and provide a
great customer experience.

As a Senior Applied Scientist on our team of scientists and engineers, you will
have opportunities to create significant impact on our systems, our business and
most importantly, our customers as we take on challenges that can revolutionize
the e-commerce industry. You will identify specific and actionable opportunities
to solve business problems, propose state-of-the-art solutions and collaborate
with engineering, and business teams for future innovation. You need to be a
great translation between ambiguous business domains and rigorous scientific
solutions, an expert at inventing and simplify, and a good communicator to
surface insights and recommendations to audiences of varying levels of technical
sophistication.

Requirements

• 4+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Use machine learning and AI techniques to create scalable seller-facing solutions
• Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
• Design, development and evaluation of highly innovative models
• Work closely with software engineering teams to drive real-time model implementations and new feature creations

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
• Education Level: Ph.D. or professional degree