Senior Applied Scientist, Sponsored Products Off-Search

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon is seeking a Senior Applied Scientist for its Sponsored Products Off-Search team in Seattle. This role focuses on innovative machine learning solutions that enhance user experience and connect shoppers with relevant ads. Candidates should possess a strong background in ML, data analysis, and software development, with competitive compensation reflecting industry standards.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience with neural deep learning and applied research.
• Strong programming experience in Java, C++, Python or related languages.

Responsibilities

• Conduct deep data analysis to derive business insights.
• Develop scalable ML models and optimization strategies.
• Run A/B experiments and perform statistical analysis.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Optimization

Education

PhD or Master's degree

Tools

Java

C++

Python

R

Tensorflow

Job description

Senior Applied Scientist, Sponsored Products Off-Search

Job ID: 2990461 | Amazon.com Services LLC

** This position is open to candidates in Seattle, New York and Palo Alto.

Amazon Ads Sponsored Products Off-Search 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 (ML) Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale ML 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 Senior Applied Scientist to grow the business. We are working on state-of-the-art ML models and advanced ML infra (real-time and offline) to connect shoppers with right ads on Amazon's off-search (Detail Pages, Homepage, etc.) and stores-in-store (such as Amazon Haul) 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
As an Applied Scientist, you will:

* 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 business

BASIC QUALIFICATIONS

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.