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

Amazon; New York (NY); On-site; USD 150,000 - 260,000; Full time

Job summary

An innovative company is seeking a talented Applied Scientist to join a pioneering team focused on transforming the advertising landscape. In this role, you will tackle complex science and business challenges while developing cutting-edge machine learning algorithms to optimize ad performance. With a strong emphasis on creativity and experimentation, you will have the opportunity to enhance your technical skills and make a significant impact on millions of users. This position offers a collaborative environment where your contributions will drive growth and innovation in the advertising sector, making it an exciting opportunity for those passionate about technology and data-driven solutions.

Qualifications

• 3+ years of experience building machine learning models for business applications.
• PhD or Master's with 6+ years of applied research experience.

Responsibilities

• Solve complex science and business problems for advertisers and shoppers.
• Drive end-to-end machine learning projects with high ambiguity and scale.

Skills

Machine Learning

Programming in Java

Programming in C++

Programming in Python

Deep Learning

Quantitative Analysis

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Hadoop

Spark

Job description

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

Job ID: 2928507 | Amazon.com Services LLC - A57

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 grow 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

1. Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
2. Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
3. Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
4. Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them.
5. Research new and innovative machine learning approaches.
6. Recruit Scientists to the team and provide mentorship.

BASIC QUALIFICATIONS

1. 3+ years of building machine learning models for business application experience.
2. PhD, or Master's degree and 6+ years of applied research experience.
3. Experience programming in Java, C++, Python or related language.
4. Experience with neural deep learning methods and machine learning.

PREFERRED QUALIFICATIONS

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

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 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 this link 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 this link.