Data Scientist II, SCOT - OSS Buying Outcomes
About The Position
The Supply Chain Optimization Technologies (SCOT) Buying team is at the heart of Amazon's global inventory management. They build sophisticated automated systems that decide what to buy, when to buy it, and where to place billions of dollars in inventory across Amazon's vast network, directly impacting customer satisfaction and operational efficiency. As a Data Scientist in SCOT Buying Outcomes, you will develop and support best-in-class data science methodologies and models that provide crucial inputs to Amazon’s diverse buying programs. This involves addressing ambiguous buying questions at scale by building tools to drive key decisions in buying and sourcing strategies across Just in Time, Advanced Purchasing, and Global Ordering programs. The role requires exceptional technical expertise to handle massive datasets, familiarity with deriving causal inferences using observational data, and the ability to model variations related to different buying and cost scenarios across various planning horizons. Upon completion of statistical analysis, the Data Scientist must communicate results and recommendations to stakeholders by translating technical frameworks into business-oriented insights. This position demands excellent analytical abilities and business acumen, with a comfort for ambiguity, attention to detail, and the capacity to balance analysis with critical thinking and judgment in a fast-paced environment. Success is measured by the business impact of the findings.
Requirements
- 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- Experience applying theoretical models in an applied environment
Nice To Haves
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Responsibilities
- Collaborate with product managers and deep learning science and engineering teams to design and implement model solutions for Amazon buying systems
- Develop edge case agile models for on-going buying assessments toward the end goal of optimizing buying decisions for millions of products world-wide
- Use large datasets or experiments to make causal inferences or predictions
- Work with engineers to automate science analysis processes and build scalable measurement solutions
- Interpret data, write reports, and make actionable recommendations
- Extract insights from data and clearly communicate appropriate triggers and actions
- Drive technical standards and best practices for the team's data architecture and analytics approaches
- Mentor and provide technical guidance to other team members on complex projects
Benefits
- Medical Coverage
- Dental Coverage
- Vision Coverage
- Maternity Leave Options
- Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- Health insurance (includes prescription, Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line)
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
