Applied Scientist, Personalization, DTx Science jobs in United States
cer-icon
Apply on Employer Site
company-logo

Amazon · 21 hours ago

Applied Scientist, Personalization, DTx Science

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions and lead the Applied Science strategy for recommendation creation and personalization.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
check
H1B Sponsor Likelynote

Responsibilities

Serve as the technical leader in Machine Learning, driving collaboration between scientists and engineers, guiding efforts within the team and collaborating with other teams
Conduct hands-on analysis and modeling of large-scale data to generate insights that boost ads revenue while maintaining a positive advertiser and shopper experience
Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity
Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production
Run A/B experiments, gather data, and perform statistical analysis to validate your models
Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving
Explore and research innovative machine learning approaches to push the boundaries of what’s possible

Qualification

Machine LearningData AnalysisStatistical AnalysisProgramming in PythonAlgorithmsData StructuresUnix/LinuxCollaborationProblem SolvingCommunication

Required

3+ years of building models for business application experience
PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred

Experience using Unix/Linux
Experience in professional software development

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

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