Sr. Applied Scientist, Measurement, AdTech and Data Science , Performance Measurement

Amazon • Palo Alto, CA

3d

About The Position

The Ads Measurement Science team within Amazon Ads' Measurement, AdTech, and
Data Science (MADS) organization
serves a centralized role developing solutions for a multitude of performance
measurement products to measure the full impact of advertiser spend, including
both online and offline sales impacts across all timeframes. It delivers
actionable insights for advertisers to optimize media portfolios. We also build
science solutions for AI and AI-powered tools that unlock new insights and
automate high-effort customer workflows for ad measurement, such as custom query
and report generation based on natural language user requests. We leverage new
technologies including Generative AI, machine learning, causal inference,
natural Language Processing (NLP), and Computer Vision (CV) to drive these
innovations.

A key focus of this role is Modeled Attribution, Amazon's privacy-compliant
measurement system serving millions of advertisers and processing billions of
events monthly across global marketplaces. We apply state-of-the-art machine
learning and GenAI techniques to generate accurate measurement when user
identity is unavailable, representing Amazon's technical response to
industry-transforming privacy regulations and platform changes.

As a Senior Applied Scientist (Applied Scientist III) on the team, you will lead
the development of measurement solutions end-to-end from inception to
production. You will define the technical vision for complex measurement
initiatives that span multiple teams. You will drive scientific innovation at
scale while influencing business and engineering strategies. You will propose,
design, analyze, and productionize models to provide novel measurement insights
to our customers.

Requirements

• 5+ 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

Nice To Haves

• 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.

Responsibilities

• Innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models
• Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
• Lead the decomposition of problems and development of roadmaps to execute on it
• Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions
• Influence team business and engineering strategies
• Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives
• Foster collaborations among scientists and engineers to move fast and broaden impact
• Actively engage in the development of others, both within and outside of the team
• Regularly engage with the broader science community with presentations, publications, and patents

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