Data Scientist, Private Brands

4 days ago


San Diego, California, United States Amazon Full time

About Us

Amazon's Private Brands Selection Guidance organization is looking for a highly skilled Data Scientist, Private Brands to join our team. We are an interdisciplinary group of Scientists, Economists, Engineers, and Product Managers who apply cutting-edge technology to drive business decisions and product development.

The ideal candidate will have a strong background in machine learning and statistics, with experience in developing large-scale applications. They will be responsible for inventing novel solutions, reviewing and guiding science solutions across the team, and publishing research papers.

This is a unique opportunity for someone who wants to develop cutting-edge science solutions and have direct business impact.

Key Responsibilities:

  • Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
  • Invent novel science solutions and develop prototypes to solve business problems.
  • Review and guide science solutions across the team.
  • Publish and socialize your and the team's research across Amazon and external avenues as appropriate.
  • Leverage industry best practices to establish repeatable applied science practices, principles & processes.

Basic Qualifications:

  • Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field.
  • 7+ years of hands-on experience in solving difficult machine learning problems.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
  • Demonstrated ability to serve as a technical lead.
  • Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis.
  • Proven track in leading, mentoring, and growing teams of scientists.

Salary Range: $179,000 - $309,400 per year, depending on location.



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