Data Scientist II, North America Sort Centers

Own end-to-end ML operations and optimization modeling that influence North America middle miles planning for Amazon’s Sort Center and Transportation Operations Management.

• Design and implement complex ML and optimization solutions including forecasting
  , MIP/LP
  , simulation
  , and deep learning / foundation model approaches
• Lead delivery of scalable models from problem framing through deployment and post-launch monitoring (data exploration, feature engineering, training, evaluation)
• Create new modeling patterns and analytical frameworks for forecasting (including multivariate
  , hierarchical
  , causal-DAG
  , and model-chaining
  ) and optimization
• Build robust model validation, backtesting, and monitoring pipelines; detect and eliminate sources of leakage
  , bias
  , and silent failure
• Define and own model performance metrics (example provided:
  WAPE
  ) tied to business outcomes
• Partner with Data Engineering and Software Development to product ionize models, define I/O contracts
  , manage packaging, and support model CI/CD
• Communicate findings, tradeoffs, and recommendations clearly to stakeholders and senior leadership

• 2+ years of data scientist experience
• 3+ years experience with data querying languages (example:
  SQL
  ), scripting languages (example:
  Python
  ), or statistical/mathematical software (examples: R,
  SAS
  , Matlab
  )
• 3+ years experience applying ML/statistical modeling analysis tools and techniques, including understanding parameters that affect performance
• Experience applying theoretical models in an applied environment
• Experience communicating technical concepts to a non-technical audience
• Proficiency in statistical modeling and machine learning including time-series forecasting
  , regression
  , tree-based methods
  , and deep learning

• SQL, Python, R, SAS, Matlab
• Time-series forecasting, regression, tree-based methods, deep learning
• MIP/LP, simulation, foundation model
• Multivariate, hierarchical, causal-DAG, model-chaining
• WAPE, CI/CD

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, 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
• Paid time off
• Parental leave

• Master’s degree in STEM (Science, Technology, Engineering, or Mathematics)
• Experience with AWS services including S3
  , Redshift
  , Sage Maker
  , EMR
  , Kinesis
  , Lambda
  , and EC2
• Experience in an ML or data scientist role with a large technology company

• Location: Bellevue, WA (onsite)
• Salary: USD 136, per year
• Base salary range shown for: USA, WA, Bellevue  -  USD annually)