Data Scientist, Sponsored Display
New York, New York, USA
Full Time Mid-level / Intermediate USD 125K - 212K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...At Amazon Advertising, we're revolutionizing the future of digital advertising through the evolution of Sponsored Display (SD) into an AI-powered full-funnel advertising solution that's breaking new ground in cross-program optimization. As an data scientist, you'll be at the forefront of developing sophisticated machine learning systems that coordinate and optimize advertising across multiple touchpoints, leveraging real-time prediction to understand how past ad exposures and 3P interactions influence future shopper responses. Our team is pioneering in the areas of attribution and audience targeting and plan to build next-generation models that optimize for downstream effects rather than focusing on immediate transactions.
What makes this role particularly exciting is the scale and complexity of the technical challenges. You'll work on challenging problems in multi-objective optimization, analyzing how different ad formats and placements interact to drive incremental value, and developing novel approaches to real-time bidding that incorporate both historical and current shopper behavior signals. With Amazon's vast dataset spanning a broad range of advertising performance, you'll have the opportunity to build models that drive significant business impact.
This is a unique opportunity to shape the future of advertising while working with state-of-the-art machine learning infrastructure at Amazon scale.
Basic Qualifications
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Category:
Data Science Jobs
Tags: Data analysis Machine Learning Matlab ML infrastructure Perl Python R SAS SQL Statistical modeling Statistics
Perks/benefits: Career development Equity / stock options
Region:
North America
Country:
United States
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