Applied Scientist- Search Advertising WW
Palo Alto, CA 
Posted 23 days ago
Position No Longer Available
Position No Longer Available
Job Description

Join a team working on cutting-edge science to innovate ad experiences for Amazon shoppers!

Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We are looking for an Applied Scientist for the Sponsored Products Search Supply team. Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Search Supply team works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search pages world-wide. Using a combination of big-data analytics, machine learning and experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.

The ideal candidate will have deep knowledge and passion for machine learning and optimization techniques, proven track-record to apply scientific knowledge to business applications, and ability to communicate data insights and scientific vision to a wide audience.

As an Applied Scientist, you will:
* 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.

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Basic Qualifications
* PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
* 2+ years of experience of building machine learning models for business application
* Experience programming in Java, C++, Python or related language
* Experience building Machine Learning solutions to solve real-world problems.
* At least 2 years of experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.Advertisement
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. For individuals with disabilities who would like to request an accommodation, please visit


Position No Longer Available
Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Master's Degree
Required Experience
4+ years
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