Sr. Applied Scientist, Ads Decision Science

Sr. Applied Scientist, Ads Decision Science

Job  |  Services LLC

We are seeking a Sr. Applied Scientist to revolutionize how we deliver personalized advertising solutions to our worldwide customers. In this role, you will build autonomous AI systems that proactively identify advertiser pain points and deliver optimal recommendations across multiple communication channels without requiring explicit customer input.

How can we deliver the most personalized advertising offerings to our worldwide customers? In the era of Agentic AI, how can we build autonomous systems which identify advertiser pain points and offer best recommendations across multiple communication channels? How do we do this without asking anything to our customers and know what they need?

Our team's mission is to deliver the best strategy to our WW advertisers whenever and wherever they need it.

Using Amazon's large scale computing resources, you will ask research questions about advertiser behavior, build state of the art recommender models to generate recommendations, and deploy these models directly on the ad delivery channels. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit advertisers and the retail business and you will measure the impact using scientific tools.

We are looking for a passionate, hard working, and talented Sr. Applied Scientist who has experience building mission critical, high volume applications that customers love. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of new generation ads products seen by millions of customers everyday.

The Amazon Ads Marketing Decision Science Team innovates the future of marketing tech by creating interactive conversational agents, visual and text content generation capabilities, recommender systems to give the best strategies to our advertisers to maximize their ROI with one click enablement, behavioral segmentation models to understand our customers in depth, content measurement science to understand the best content components resonating with each customer segment, and many more.

Our mission is to personalize the communication strategy of one of the world's top digital advertising tech companies.

• PhD, or Master's degree and 6+ years of applied research experience
• 3+ years of building machine learning models for business application 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, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Knowledge of programming languages such as C/C++, Python, Java or Perl

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, including support for the interview or onboarding 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 listed below. 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 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, and parental leave.

Learn more about our benefits at .

USA, NY, New York -  -  USD annually

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