Applied Scientist, Sponsored Products Marketplace Intelligence, Sponsored Products and Brands, [...]

Amazon; New York (NY); On-site; USD 136,000 - 224,000; Full time

Job summary

Amazon is seeking an Applied Scientist for its Sponsored Products Marketplace Intelligence team. This role involves solving complex problems, leading machine learning projects, and developing algorithms to enhance advertising products. Candidates should have a strong background in machine learning and programming, with a focus on improving the shopping experience for millions of customers. Join a collaborative team to innovate and drive revenue through advanced advertising solutions.

Benefits

Medical Benefits

Financial Benefits

Other Perks

Qualifications

• 3+ years of experience building models for business applications.
• Experience with algorithms, data structures, numerical optimization.

Responsibilities

• Solving science and business problems balancing interests.
• Leading end-to-end machine learning projects.
• Developing real-time algorithms for ad allocation.

Skills

Machine Learning

Data Mining

Algorithms

Programming

Education

PhD or Master's degree in CS, CE, ML

Tools

Java

C++

Python

AWS

Job description

Applied Scientist, Sponsored Products Marketplace Intelligence, Sponsored Products and Brands, Marketplace Intelligence

Join to apply for the Applied Scientist, Sponsored Products Marketplace Intelligence, Sponsored Products and Brands, Marketplace Intelligence role at Amazon.

Description

Amazon is building a world-class advertising business and defining a collection of self-service performance advertising products that drive discovery and sales. Sponsored Products (SP) helps merchants, retail vendors, and brand owners increase sales through native advertising, leveraging machine learning, big data analytics, and high-volume engineering systems. Join a motivated, collaborative team with an entrepreneurial spirit to innovate and improve the shopping experience for millions of Amazon customers worldwide while driving revenue.

Key responsibilities include:

• Solving challenging science and business problems balancing advertiser, shopper, and Amazon interests.
• Leading end-to-end machine learning projects with ambiguity and scale.
• Developing real-time algorithms for ad allocation in auctions.
• Researching new machine learning techniques.
• Recruiting and mentoring scientists.

Basic qualifications:

• 3+ years of experience building models for business applications.
• PhD or Master's degree with 4+ years in CS, CE, ML, or related fields.
• Programming experience in Java, C++, Python, or similar.
• Experience with algorithms, data structures, numerical optimization, data mining, or high-performance computing.

Preferred qualifications:

• Unix/Linux experience.
• Professional software development experience.
• Experience with AWS services.

Amazon is an equal opportunity employer committed to diversity and inclusion. For workplace accommodations, visit https://amazon.jobs/content/en/how-we-hire/accommodations. Compensation ranges from $136,000 to $223,400 annually, based on location, experience, and skills. Benefits include medical, financial, and other perks. Apply via our career site. This position remains open until filled.