Senior Applied Scientist, Ad Measurements Science

Amazon • New York, NY

23h

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 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 productionize 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.

Requirements

• 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 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

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

• 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 state of the art models that measure the impact of ad spend across multiple platforms and timescales.
• Drive experimentation and the 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.

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