Applied Scientist Amazon
Seattle, WA

Job Description

Over 100 million paid members around the world enjoy the many benefits of Prime, including the best of shopping and entertainment from Amazon. In the U.S. that includes unlimited access to award-winning movies and TV episodes with Prime Video; unlimited access to Prime Music, Prime Reading, Amazon Photos, Twitch Prime; early access to select Lightning Deals, one free pre-released book a month with Amazon First Reads, and more. Prime members can also get deep discounts on select popular products at Whole Foods Market plus an additional 10 percent off hundreds of sale items. Prime was built on the foundation of unlimited fast, free shipping and members receive Prime FREE One-Day Shipping and Prime FREE Same-Day Delivery in more than 8,000 cities and towns, two-hour delivery with Prime Now in more than 30 major cities and unlimited Free Two-Day Shipping on more than 100 million items. If you want to apply machine learning to solve incredibly complex real world problems that affect customers all over the globe, this is the role for you.

Prime Auto-Targeting team is looking for a customer-focused, solution-oriented Sr. Applied Scientist for the Prime team. Prime members are at the heart of Amazon's explosive growth in retail and digital product sales. As a machine learning scientist, you will develop creative, novel and practical solutions for complex problems using machine learning and predictive technologies to anticipate customer behaviors that are often hard to model. This role has a company wide scope for influencing experimentation methodology and offers a tremendous opportunity for creativity and real-world impact.

You will work on cross-disciplinary efforts with other scientists within Amazon to advance our already state of the art machine learning algorithms supporting experimentation, A/B testing and optimization technologies applying bandit based algorithms. Our scientists work closely with software engineers to put algorithms into practice. You will partner with technology and product teams to build solutions that improve customer experience.

This is an opportunity to:

* Leverage thorough technical knowledge on Statistical Modeling, Optimization, Bandits, Reinforcement Learning, Deep Learning, and other machine learning techniques.
* Grow and innovate by adapting new modeling techniques and procedures.