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About the Role
The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain. We are seeking a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty and optimizes complex trade-offs between customer experience, inventory costs, and fulfillment costs. We develop sophisticated algorithms that learn from large amounts of data to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community by working with scientists across Amazon and collaborating with academic researchers.
Responsibilities
- Analyze large amounts of data from different parts of the supply chain and their associated business functions.
- Improve existing machine learning methodologies by developing new data sources, enhancing models, running computational experiments, and fine-tuning parameters.
- Formalize assumptions about model behavior, define outliers, develop methods to identify them, and explain their reasonableness or identify fixes.
- Communicate verbally and in writing to business customers with varying technical knowledge, educating them about research and sharing insights and recommendations.
- Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms.
Requirements
- 2+ years of data scientist experience
- 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- 1+ years of experience guiding and coaching a group of researchers
- 1+ years of experience working with or evaluating AI systems
- 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content
- Experience applying theoretical models in an applied environment
Skills
- Python
- R
- Scala
- SQL
- Machine learning
- Statistical modeling
- Data analysis
- Quantitative analysis
- Communication
Location
- USA, TX, Austin
Work Type
- Full-time
Experience Level
- 2+ years
Education Level
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) (Preferred)
Salary/Compensations
- 136,000.00 - 184,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
About the Company
- The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems, deciding what, when, where, and how much to buy to meet Amazon’s goals and satisfy customers for millions of items across hundreds of product lines worth billions of dollars globally. Our systems are built in-house and are at the cutting edge of automated, large-scale inventory and supply chain planning and optimization. We foster innovative ideas, creating intelligent, self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.
- The Fulfillment Optimization team uses cutting-edge science, machine learning, and scalable cloud software to improve customer outcomes and transform logistics, automating and optimizing shipments under demand, pricing, and supply uncertainty. Our systems use real-time, large-scale optimization techniques to select shipment origins and consolidate orders for timely delivery at the lowest transportation cost. We leverage big data to identify success/failure patterns, focus areas, root causes, and build predictive models to address impactful problems. The complexity of data, variables, customers, and locations makes this role challenging and rewarding for problem-solvers who thrive in ambiguity and seek to discover universal concepts and innovative ML solutions.
- Amazon.com has a culture of data-driven decision-making, demanding timely, accurate, and actionable data analysis. Work within SCOT FO will have an immediate influence on day-to-day decision-making at Amazon.com.
- As a Data Scientist, you will work in one of the world's largest and most complex data warehouse environments, collaborating with Product Managers, ML Scientists, and Senior Executives to gather requirements and apply data science methodologies to solve complex business problems. You should possess deep expertise in analyzing huge and complex datasets from multiple domains, and be adept at designing and implementing solutions using various data science methodologies for data analysis automation and business problem-solving. You should be able to understand business requirements and implement reporting solutions in a fast-paced environment.
- This opportunity is ideal for highly motivated and talented data scientists seeking to apply and grow their technical depth and breadth while defining and driving key aspects of the customer experience on Amazon.com.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.