Data Scientist, Private Brands
4 days ago
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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