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Principal Applied Scientist, Measurement, AdTech and Data Science, Ads Performance Measurement jobs in United States
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Amazon · 15 hours ago

Principal Applied Scientist, Measurement, AdTech and Data Science, Ads Performance Measurement

Amazon is a leading company in e-commerce and technology, seeking a Principal Applied Scientist in Performance Measurement for their Measurement, Ad Tech, and Data Science team. This role involves leading the technical vision for performance measurement in advertising and guiding a team of scientists to innovate solutions in a complex, multi-disciplinary scientific space.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
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H1B Sponsor Likelynote

Responsibilities

Driving the scientific vision of the teams in your organization and you advise and influence its technical leadership on performance measurement models and products
Identifying, tackling, and proposing innovative solutions to intrinsically hard, previously unsolved problems. You solve problems pragmatically, applying judgment and experience to balance trade-offs between competing interests
Bringing clarity to complex problems, probe assumptions, illuminate pitfalls, foster shared understanding, and guide towards effective solutions
Serving and being recognized by internal and external peers as a thought leader in modeled measurement in Ads. You will engage routinely with the broader scientific community, e.g. as a reviewer, program committee member, workshop organizer, or chair at peer-reviewed internal/external conferences
Leading by example, with your papers, analyses, and code setting the standard in your organization for scientific engineering excellence
Leading science and design reviews, aligning teams across your organization around coherent algorithmic strategies
Influencing your team’s science and business strategy by driving one or more team roadmaps contributing to the organization’s roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch
Guiding the career development of others, actively mentoring and educating the larger applied science community on trends, technologies, and best practices. You drive the documentation of scientific innovation. You attract bar-raising talent from academia and industry
Staying abreast of academic and industry trends, knowing the state of the art, and building on top of existing solutions instead of reinventing when possible

Qualification

PhD in Computer ScienceApplied ML experienceAI solutions designNatural Language ProcessingGenerative AI technologiesAdvertising technologyInnovative AI solutionsEducationThought leadershipMentoringTeam collaboration

Required

PhD in Computer Science, Statistics or related field
10+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP
Hands-on experience with designing and prototyping AI solutions for real world applications

Preferred

Research publications or patents in generative AI technologies
Experience with natural language processing and generative model architectures
Background in advertising technology or e-commerce platforms
Demonstrated track record of innovative AI solution development
Experience with advertising systems and applications

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

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

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase