Senior Applied Scientist, Selling Partner Selection Success
Seattle, WAJob$167–226K/yrSeen 1w agoSeen in employer's feed 5 days ago
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Job overview
Amazon’s Selling Partner Recruitment and Success organization seeks a Senior Applied Scientist to identify data-driven opportunities that improve seller recruitment and success. The scientist will apply statistical and machine-learning methods, including deep learning and generative AI, to business problems and production systems. The role also contributes to research, guides scientists, leads complex project roadmaps, and communicates scientific insights to technical and business audiences.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.
We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You are sophisticated user and builder that can leverage the latest scientific methods, including statistics, machine learning, deep learning and GenAI technology and are able to put them in production to answer specific business questions, solve complex problems, and collaborate with engineering, research, and business teams to deliver optimized experience (AI infused products, agentic experiences) on behalf of our sellers. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Key job responsibilities
As a Sr. Applied Scientist in the team, you will:
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Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, RL, GenAI and Agentics).
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Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.
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Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
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Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
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Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
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Be responsible for communicating our science innovations to the broader internal & external scientific community.
Basic Qualifications
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4+ years of applied research experience
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3+ years of building machine learning models for business application experience
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PhD, or Master's degree and 6+ years of applied research experience
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Experience programming in Java, C++, Python or related language
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Experience with neural deep learning methods and machine learning
Preferred Qualifications
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Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Experience with large scale distributed systems such as Hadoop, Spark etc.
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Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
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Experience identifying opportunities to integrate AI solutions into products and services to drive business value
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, Seattle - 167,100.00 - 226,100.00 USD annually
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$167–226K/yr
- Washington median$143–226K/yr242 salary ranges
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $197K, is close to the Washington median midpoint ($197K) — in the middle half of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 248 open Applied Scientist jobs in Washington and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)195 open
- Microsoft Corporation23 open
- Oracle8 open
- Experience
- This posting asks for at least 4 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (918 postings).
- Education
- 582 of the 1,075 open Applied Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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