Senior Applied Scientist, Ad Measurements Science

Senior Applied Scientist, Ad Measurements Science

Job :  |  Services LLC

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 a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end‑to‑end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and product ionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production.

You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.

• Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
• Collaborate closely with cross‑functional teams including engineering, product management, and business teams to define and implement measurement solutions.
• Use state‑of‑the‑art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop models that measure the impact of ad spend across multiple platforms and timescales.
• Drive experimentation and continuous improvement of ML models through iterative development, testing, and optimization.
• Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
• Mentor and guide junior scientists, fostering a collaborative and high‑performing team culture.
• Foster collaborations between scientists to move faster, with broader impact.
• Regularly engage with the broader scientific community with presentations, publications, and patents.

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree and 6+ years of applied research experience.
• Knowledge of programming languages such as C/C++, Python, Java, or Perl.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

• 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.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is  -  USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .