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Lead Applied Scientist, Supply Chain Optimization
2 months ago
Are you ready to shape the future of supply chain innovation? Join us in tackling some of the most complex challenges in the industry. As a pivotal member of Amazon's Stores business, you will contribute to the advancement of our supply chain strategies.
About the Role: The Supply Chain Optimization Technologies (SCOT) team is on the lookout for a Lead Applied Scientist to enhance our Optimal Sourcing Systems (OSS). This team is responsible for optimizing inventory sourcing and managing inbound logistics from a diverse range of global vendors. Our mission is to streamline inventory acquisition for millions of products while efficiently coordinating the movement of billions of units.
Your Contributions: Your technical solutions will significantly influence Amazon's physical supply chain, driving improvements in long-term profitability for our consumer business. Collaborate with top-tier product managers, scientists, and engineers to address some of the industry's most pressing issues.
Key Responsibilities:
- Design, implement, and assess innovative models, agents, and software prototypes.
- Provide technical leadership to a team of highly skilled scientists.
- Shape business and engineering strategies through your insights.
- Collaborate with cross-functional teams to devise solutions for complex business challenges.
- Work alongside a senior science advisor and engage with a diverse global science community.
- Elevate the standards of scientific research through innovation and publication.
- Exercise sound judgment in balancing immediate and long-term business needs.
- Communicate effectively with stakeholders to foster alignment on critical initiatives.
A Day in Your Life: In this role, you will engage with partners and stakeholders across Amazon's retail, seller, and operations sectors. You will gain insights into their challenges and develop solutions that enhance our inventory sourcing processes and vendor experiences. Your work will be highly visible and impactful within Amazon's operational framework.
About Our Team: The SCOT team is responsible for Amazon's global inventory planning systems, determining what, when, where, and how much to purchase to achieve our business objectives and ensure customer satisfaction. We manage inventory placement and movement across Amazon's fulfillment network for a vast array of products worth billions globally.
Basic Qualifications:
- PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field.
- 7+ years of extensive research experience post-PhD.
- Proficient in production coding with object-oriented programming languages such as Java, Python, or C++.
- Strong background in algorithm development.
- Comprehensive knowledge of advanced machine learning and optimization technologies.
- 7+ years of practical experience in developing machine learning or optimization models in a business context.
- Proven experience in mentoring and managing senior scientists and engineers.
Preferred Qualifications:
- Awareness of current trends in machine learning.
- Expertise in Machine Learning or Reinforcement Learning; familiarity with Operations Research is advantageous.
- Demonstrated history of innovation in algorithm development and advancing industry standards.
Diversity and Inclusion: Amazon is dedicated 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 other legally protected status.
Compensation: Our compensation reflects the labor costs across various US geographic markets. The base pay for this position varies based on market location and job-related knowledge, skills, and experience. In addition to base pay, total compensation may include equity, sign-on bonuses, and a comprehensive range of medical, financial, and other benefits.
