Senior Applied Scientist, Ads Measurement Science

Senior Applied Scientist, Ads Measurement 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 their ad spend, including sales impact both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios.

We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, causal inference, natural language processing, and computer vision.

• Lead a team of scientists to 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 them.
• 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 between scientists to move faster, with broader impact.
• Actively engage in the development of others, both within and outside the team.
• Regularly engage with the broader scientific community with presentations, publications, and patents.

• 5+ years of building machine learning models for business application.
• PhD, or Master’s degree and 8+ years of applied research experience.
• 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, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
• 5+ years of building machine learning models or developing algorithms for business application.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.

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 at (Use the "Apply for this Job" box below)..

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.