Applied Scientist Manager, Worldwide Returns & ReCommerce

Amazon; Bellevue (WA); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon in Bellevue, WA seeks a leader to guide a team of scientists and ML engineers in building scalable ML solutions for returns optimization, NLP-powered information retrieval, and analytics. You will drive strategy, mentor staff, and collaborate across product and software teams to deliver high-impact models and systems.

The role focuses on applied ML, software design, and delivering customer-obsessed results in a fast-paced environment with strong collaboration and growth opportunities.

Qualifications

• 3+ years of scientists or machine learning engineers management experience.
• Knowledge of ML, NLP, Information Retrieval and Analytics.
• Experience directly managing scientists or machine learning engineers.
• Experience building machine learning models or developing algorithms for business application.
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
• PhD, or Master's degree and 3+ years of scientists or machine learning engineers management experience.

Responsibilities

• Lead and grow a team of ML engineers and scientists.
• Shape ML/AI strategy and roadmap for returns optimization and recommerce.
• Collaborate with product and software teams to deploy scalable ML solutions.

Skills

ML management

ML knowledge

NLP

Information Retrieval

Analytics

Java

C++

Python

Communication skills

Job description

Description

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.

WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce.

Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.

You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems.

We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.

Amazon is earth’s most customer-centric company and through WWRRS, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!

Key job responsibilities

3+ years of scientists or machine learning engineers management experience

Knowledge of ML, NLP, Information Retrieval and Analytics

4+ years of building machine learning models or developing algorithms for business application experience

2+ years of programming in Java, C++, Python or related language experience

Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

Basic Qualifications

• 3+ years of scientists or machine learning engineers management experience


• Knowledge of ML, NLP, Information Retrieval and Analytics


• Experience directly managing scientists or machine learning engineers

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application


• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers


• PhD, or Master's degree and 3+ years of scientists or machine learning engineers management experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 - 183,800.00 - 248,700.00 USD annually