Senior Data Scientist, Sponsored Products

Amazon; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Paid time off

Parental leave

Job summary

Amazon is seeking a Machine Learning Applied Scientist for the Ads Response Prediction team to advance real‑time ML services connecting shoppers with relevant ads across platforms. The role involves deep collaboration with engineers to ship end‑to‑end solutions and optimize the Sponsored Products and Brands ecosystem, leveraging large-scale data analytics and innovative modeling techniques.

The successful candidate will drive experimentation, model development and deployment, while improving

Qualifications

• 5+ years of data querying languages (SQL), scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab) experience.
• 4+ years of data scientist experience.
• Bachelor's degree in a related field.

Responsibilities

• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities.
• Develop scalable and effective machine‑learning models and optimization strategies to solve business problems.
• Run regular A/B experiments, gather data, and perform statistical analysis.
• Work closely with software engineers to deliver end‑to‑end solutions into production.
• Improve the scalability, efficiency and automation of large‑scale data analytics, model training, deployment and serving.
• Conduct research on new machine‑learning modeling to optimize all aspects of Sponsored Products and Brands business.

Skills

SQL

Python

R

SAS

Matlab

Education

Bachelor's degree

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Description
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 Amazon.com 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 you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Description
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 Amazon.com 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 you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world‑class advertising business. We are defining and delivering a collection of self‑service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long‑term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world‑class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real‑time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.
Key job responsibilities

• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
• Develop scalable and effective machine‑learning models and optimization strategies to solve business problems
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers to deliver end‑to‑end solutions into production
• Improve the scalability, efficiency and automation of large‑scale data analytics, model training, deployment and serving
• Conduct research on new machine‑learning modeling to optimize all aspects of Sponsored Products and Brands business
  

Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression
  

Preferred Qualifications

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
  

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.
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 https://amazon.jobs/en/benefits.
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
USA, WA, SEATTLE - 159,200.00 - 215,300.00 USD annually
Company - Amazon.com Services LLC
Job ID: A10468196