Data Scientist II, NASC S&OP

Job :  |  Services LLC

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network.

The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layer of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, implement data pipelines to product ionize your models, and review key results with business leaders and stakeholders.

• Development of scalable data science solutions catering to volume and cube forecasting for NASC Sales and Operation Planning Team.
• Working closely with Network Planners, Product Managers, Data Scientists, Business Intelligence Engineers, and various planning teams to drive business decisions and alignment with business stakeholders.
• Development of scalable data science solutions to audit and optimize our NASC network.
• Development and execution of analytical tools to model our transportation network.
• Contribute to the strategy for network design, prioritize technical and operational initiatives, evaluate and set stakeholder expectations.

Amazon Benefits:

• 3+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below). .

• USA, NJ, Jersey City -  -  USD annually
• USA, TN, Nashville -  -  USD annually
• USA, WA, Bellevue -  -  USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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