Applied Scientist , Sponsored Products

Amazon; New York (NY); On-site; USD 129,000 - 213,000; Full time

Job summary

A leading company is seeking an Applied Scientist in Sponsored Products to work on innovative machine learning solutions for its advertising business. The role promises to enhance user experiences and improve sales through advanced analytics and algorithm development. Ideal candidates will have a strong educational background in quantitative fields and hands-on programming skills. If you’re passionate about applying data science creatively, this opportunity offers the chance to drive real business impact.

Benefits

Employee benefits package

Flexible work arrangements

Qualifications

• Master's degree in a quantitative field.
• Experience in programming (Java, C++, Python).
• Experience with SQL and an RDBMS.

Responsibilities

• Drive end-to-end Machine Learning projects.
• Develop real-time machine learning algorithms for ad auctions.
• Research new machine learning approaches.

Skills

Machine Learning

Big Data Analytics

Programming in Java

Programming in C++

Programming in Python

SQL

Education

Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Tools

RDBMS (e.g., Oracle)

Job description

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Description

Calling all inventors to work on exciting new opportunities in Sponsored Products. 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. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.

Description

Calling all inventors to work on exciting new opportunities in Sponsored Products. 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. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.

You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills, and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.

Key job responsibilities

Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.

Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.

Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them

Research new and innovative machine learning approaches.

Basic Qualifications

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  
  

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals
  
  

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 $129,400/year in our lowest geographic market up to $212,800/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.


Company - Amazon.com Services LLC

Job ID: A2995784

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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