Principal Scientist, Seller Engagement Analytics

1 week ago

Seattle, Washington, United States Amazon Full time

Join Our Team

Are you eager to be part of a pioneering group of scientists leveraging machine learning to enhance the experience of Amazon's Selling Partners? Our mission is to automatically identify and resolve their challenges, needs, and opportunities. We are looking for individuals who are passionate about developing sophisticated algorithmic systems utilizing cutting-edge ML techniques, including Causal Modeling, Deep Learning, Natural Language Processing, Large Language Models, and Computer Vision, to create seamless interactions with Sellers.

Your Role

In this position, you will:

  • Utilize statistical and machine learning methodologies to develop next-generation tools that enable Amazon's Selling Partners to thrive.
  • Design, implement, and deploy innovative models that provide Sellers with exceptional solutions.
  • Collaborate closely with teams of scientists and software engineers to facilitate real-time model implementations and deliver impactful features.
  • Establish scalable, efficient, and automated processes for extensive data analysis, model development, validation, and deployment.
  • Research and apply novel machine learning and statistical techniques.
  • Engage in strategic initiatives to incorporate the latest advancements in ML within a dynamic, experimental environment.

About Our Team

The Selling Partner Experience Science team is a dynamic group of scientists, engineers, and product leaders dedicated to researching and developing the next generation of ML-driven technologies that empower Amazon's Selling Partners. We integrate various scientific disciplines, including Natural Language Processing, Computer Vision, Optimization, and Economics, to create solutions that automatically engage with Sellers, address their issues, and support their growth. Our focus on collaboration, innovation, and strategic impact drives us to work closely with other science and technology teams, product and operations organizations, and senior leadership to transform the Selling Partner experience.

Qualifications

To be successful in this role, you should possess:

  • A minimum of 4 years of applied research experience.
  • At least 3 years of experience in building machine learning models for business applications.
  • A PhD or a Master's degree with 6+ years of applied research experience.
  • Proficiency in programming languages such as Java, C++, Python, or similar.
  • Experience with neural deep learning methods and machine learning.

Preferred Skills

We also value:

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

Diversity and Inclusion

Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

Compensation

Our compensation reflects the labor costs across various US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market to $260,000/year in our highest geographic market. Pay is determined by several factors, including market location, and may vary based on job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.

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