Data Scientist

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

We are seeking an experienced Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. Were looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply demand ML model predictions). This role will also be responsible for exploratory data analysis to identify opportunities for improvement of the system and working closely with Economists Applied Scientists and Engineers to improve our product.

As a Data Scientist on this team you will:
-Solve real-world problems by getting and analyzing large amounts of data diving deep to identify business insights and opportunities design simulations and experiments developing statistical and ML models by tailoring to business needs and collaborating with Scientists Engineers BIEs and Product Managers.
-Write code (Python R Scala SQL etc.) to obtain manipulate and analyze data
-Apply statistical and machine learning knowledge to specific business problems and data.
-Build decision-making models and propose solution for the business problem you define.
-Retrieve synthesize and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
-Analyze historical data to identify trends and support optimal decision making.
-Formalize assumptions about how our systems are expected to work create statistical definition of the outlier and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
-Given anecdotes about anomalies or generate automatic scripts to define anomalies deep dive to explain why they happen and identify fixes.
-Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.

Team video 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
- Bachelors degree
- Experience applying theoretical models in an applied environment

- 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 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 - 153400.00 - 207500.00 USD annually
USA WA SEATTLE - 136000.00 - 184000.00 USD annually