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Amazon · 18 hours ago

Applied Scientist, Stores Ads Science

Seattle, WA

Full-time

Onsite

Senior Level

$167K/yr - $226K/yr

6+ years exp

Amazon Stores Ads Science team is looking for a Senior Applied Scientist to help translate state-of-the-art causal inference and machine learning research into production solutions. The individual will have the opportunity to shape the technical and strategic vision of a highly ambiguous problem space at the intersection of Amazon’s Stores and Advertising businesses.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

H1B Sponsor Likely

Responsibilities

Help 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, by enhancing the usage of advertising signals in Stores’ decision-making and vice versa

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 to optimize fees and incentives

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

Machine learning modelsNeural deep learning methodsProgramming in PythonModeling toolsLarge scale distributed systems

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

Glassdoor3.7

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10001+ employees

https://amazon.com

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 Company

Total Funding

$8.11B

Key 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

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Company data provided by crunchbase