Amazon · 1 day ago
Applied Scientist, Stores Ads Science
Seattle, Washington, USA
Full-time
Onsite
Senior Level
$167K/yr - $226K/yr
6+ years expAmazon is looking for a Senior Applied Scientist to help translate state-of-the-art causal inference and machine learning research into production solutions. This role involves shaping the technical and strategic vision at the intersection of Amazon’s Stores and Advertising businesses and delivering measurable business impacts through collaboration.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Translate state-of-the-art causal inference and machine learning research into production solutions
Shape the technical and strategic vision of a highly ambiguous problem space at the intersection of Amazon’s Stores and Advertising businesses
Deliver measurable business impacts via cross-team and cross-functional collaboration
Identify opportunities to jointly optimize Amazon’s Stores and Advertising business
Enhance the usage of advertising signals in Stores’ decision-making and vice versa to drive long-term economic value
Measure ads impact and shopping content incrementality to improve shopper experience
Develop the science of explaining seller/vendor inter-related decisions between Stores and Ads
Optimize fees and incentives related to pricing and Sponsored Ads participation
Make Stores’ traffic acquisition strategies aware of shoppers’ and advertisers’ onsite advertising behavior
Partner closely with tech and product teams across Stores and Advertising
Advance experimentation methodology to accelerate science development and quantify business impacts
Qualification
Required
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
Preferred
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
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
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-25
2026-01-25
2026-01-25
Company data provided by crunchbase