Sr. Applied Scientist, Ads Decision Science
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
The Challenge
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 Mission
Our teams mission is to deliver the best strategy to our WW advertisers whenever and wherever they need it.
What Youll Do
Using Amazons 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.
What Were Looking For
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.
About the team
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 worlds top digital advertising tech companies.
- PhD or Masters 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 for more information. If the country/region youre applying in isnt 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 NY New York - 183800.00 - 248700.00 USD annually
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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