Sr. Applied Scientist, Amazon Business Ads jobs in United States
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Amazon · 1 week ago

Sr. Applied Scientist, Amazon Business Ads

Amazon is a leading company in the advertising sector, rapidly expanding its advertising products that drive discovery and sales. The role involves leading innovative solutions in business-to-business advertising, focusing on developing and deploying scientific software solutions while mentoring colleagues and influencing project decisions.

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

Responsibilities

Demonstrate fluency in Python, R, Matlab or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow
Lead end-to-end solution development from research to prototyping and experimentation
Write and deploy significant parts of scientifically novel software solutions into production
Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM
Mentor colleagues and contribute to their professional development
Build consensus on large projects and influence decisions across different teams in Ads
Uncover non-obvious insights in data
Create solutions aligned with customer and product needs
Demonstrate self-driven desire to explore new research areas
Build relationships with stakeholders through understanding business needs

Qualification

Machine Learning ModelsPythonDeep Learning FrameworksJavaC++Statistical LanguagesModeling ToolsDistributed SystemsBuilding ConsensusData InsightsStakeholder RelationshipsMentoring

Required

Demonstrate fluency in Python, R, Matlab or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow
Lead end-to-end solution development from research to prototyping and experimentation
Write and deploy significant parts of scientifically novel software solutions into production
Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM
Mentor colleagues and contribute to their professional development
Build consensus on large projects and influence decisions across different teams in Ads
Dive Deep: Uncover non-obvious insights in data
Deliver Results: Create solutions aligned with customer and product needs
Learn and Be Curious: Demonstrate self-driven desire to explore new research areas
Earn Trust: Build relationships with stakeholders through understanding business needs
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

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

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