Data Scientist for Sponsored Products Innovation
2 days ago
Company Overview
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses, with a portfolio of products that drive discovery and sales. As a core product offering, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed through native advertising, increasing incremental sales of their products sold through Amazon.
The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth, delivering billions of ad impressions and millions of clicks daily.
About the Role
We're seeking an experienced Data Scientist to join our team and lead the innovation of sponsored products. In this role, 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.
Your Responsibilities
- Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.
- Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
- Work closely with software engineers on detailed requirements, technical designs, and implementation of end-to-end solutions in production.
- Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations, and communicate your results to various business stakeholders.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
What You'll Need
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience
- Experience programming in Java, C++, Python, or related languages
- Experience in solving business problems through machine learning, data mining, and statistical algorithms
Salary: $150,000 - $200,000 per year, depending on experience
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