Applied Science Manager, Ads Measurement Science at Amazon Science | New York City, NY | $202K/yr – $286K/yr

Amazon Science

Applied Science Manager, Ads Measurement Science

New York City, NY (On-site)

$202K/yr – $286K/yrSenior Level3+ years expFull time

Posted 3 months ago

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Job Summary

Own and grow a high-performing science team, turning research into business-ready ML solutions with a clear roadmap, metrics, and stakeholder alignment.

Team leadership: hire, promote, and develop scientists to sustain top performance.
Delivery and governance: define strategy, roadmaps, and high-quality artifacts with measurable impact.
Cross-functional collaboration: partner with customers, engineering, and product to resolve issues and translate findings into decisions.

Job Description

Responsibilities\n

You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.
You have a broad understanding of scientific techniques, several of which may fall out of your specific job function.
You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.
You define clear goals for your team and effectively prioritize, balancing short-term needs and long-term value.
You establish clear and effective metrics and scientific process to enforce consistent, high-quality artifact delivery.
You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team. You communicate issues and options with leaders in such a way that facilitates understanding and that leads to a decision.
You work successfully with customers, leaders, and engineering teams. You foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues

\nRequirements\n

4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Experience programming in Java, C++, Python or related language

\nPreferred\n

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

\nBenefits\n

comprehensive benefits including 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

Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science