Sr. Applied Scientist, US Prime and Marketing Tech

Amazon • Seattle, WA

3d

About The Position

Are you excited to help customers discover the hottest and best reviewed
products?
The Discovery Tech team helps customers discover and engage with new, popular
and relevant products across Amazon worldwide. We do this by combining
technology, science, and innovation to build new customer-facing features and
experiences alongside advanced tools for marketers. You will be responsible for
creating and building critical services that automatically generate, target, and
optimize Amazon’s cross-category marketing and merchandising. Through the
enablement of intelligent marketing campaigns that leverage machine-learning
models, you will help to deliver the best possible shopping experience for
Amazon’s customers all over the globe.

We are looking for analytical problem solvers who enjoy diving into data,
excited about data science and statistics, can multi-task, and can credibly
interface between engineering teams and business stakeholders. Your analytical
abilities, business understanding, and technical savvy will be used to identify
specific and actionable opportunities to solve existing business problems and
look around corners for future opportunities. Your domain spans the design,
development, testing, and deployment of data-driven and highly scalable machine
learning solutions in product recommendation.

As an Applied Scientist, you bring business and industry context to science and
technology decisions. You set the standard for scientific excellence and make
decisions that affect the way we build and integrate algorithms. Your solutions
are exemplary in terms of algorithm design, clarity, model structure,
efficiency, and extensibility. You tackle intrinsically hard problems, acquiring
expertise as needed. You decompose complex problems into straightforward
solutions.

To know more about Amazon science, please visit https://www.amazon.science
[https://www.amazon.science]

Requirements

• 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.
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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