Research and Implementation Scientist
2 days ago
Job ID: 2794972 | Amazon.com Services LLC
The role is open for hiring in preferred locations of Seattle, WA; Toronto, Canada and New York, NY; Also open to Palo Alto, CA;
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising. 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.
Why you love this opportunity
Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses.
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 role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
As an Applied Scientist II on this team you will:
- Lead complex and ambiguous projects to deliver bidding recommendation products to advertisers.
- 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.
- Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
- Research new predictive learning approaches for the sponsored products business.
- Write production code to bring models into production.
- 5+ 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 language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
Posted: October 31, 2024
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