Applied Scientist, Ads Measurement Science

Amazon • New York, NY

1d

About The Position

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science
(MADS) team of Amazon Ads serves a centralized role developing solutions for a
multitude of performance measurement products. We create solutions which measure
the comprehensive impact of advertiser's ad spend, including sales impacts both
online and offline and across timescales, and provide actionable insights that
enable our advertisers to optimize their media portfolios. We also own the
science solutions for AI tools that unlock new insights and automate high-effort
customer workflows, such as custom query and report generation based on natural
language user requests. We leverage a host of scientific technologies to
accomplish this mission, including Generative AI, classical ML, Causal
Inference, Natural Language Processing, and Computer Vision.

As an Applied Scientist on the team, you will lead measurement solutions
end-to-end from inception to production. You will propose, design, analyze, and
productionize models to provide novel measurement insights to our customers.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ 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

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
• Disambiguate problems to propose clear evaluation frameworks and success criteria
• Work autonomously and write high quality technical documents
• Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
• Partner closely with other scientists to deliver large, multi-faceted technical projects
• Share and publish works with the broader scientific community through meetings and conferences
• Communicate clearly to both technical and non-technical audiences
• Contribute new ideas that shape the direction of the team's work
• Mentor more junior scientists and participate in the hiring process

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree