Senior Applied Scientist, Featured Merchant Algorithm (FMA) - Amazon : Job Details

Senior Applied Scientist, Featured Merchant Algorithm (FMA)

Amazon

Job Location : New York,NY, USA

Posted on : 2025-05-21T01:01:11Z

Job Description :
Senior Applied Scientist, Featured Merchant Algorithm (FMA)

Job ID: 2641860 | Amazon.com Services LLC

Are you excited by the idea of creating the world's best shopping product and offer evaluation experience? Can you imagine saving millions of shoppers' time worldwide by presenting them with intuitive shopping experience and attractive offers on one of the most visited e-commerce sites? Are you looking forward to solving challenging problems that blend business, scientific, and engineering disciplines? We work with multi-billion product selection and typically measure our impact in $'00 millions. Join us, be part of the shopping revolution, and make history!

Key job responsibilities

  • Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet.
  • Partner closely with engineers to put your research and ideas into production on Amazon.com.
  • Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them.
  • Publish papers and file patents to contribute to the machine learning community.
  • Present ideas to senior leadership (Sr. Managers and above) and mentor Applied Scientists and Engineers with an interest in artificial intelligence.
  • Provide scientific consultation and influence teams beyond your immediate group, such as Personalization, Media content teams, and Ads.

    • About the team

    The Featured Merchant Algorithm (FMA) vision is to provide the world's best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers.

    We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques.

    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
    • 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.
  • Experience in applied research

    • 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.

    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.

    Posted: August 8, 2024 (Updated about 11 hours ago)

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