Data Scientist, North America Sort Centers, Amazon Transportation Services

Amazon Inc.; Omaha (NE); Hybride; USD 136 000 - 184 000; Plein temps

Résumé du poste

Amazon.com Services LLC in Bellevue, WA seeks a Data Scientist II to own end-to-end ML and optimization modeling for NASC & TOM planning. You will design, train, validate, and deploy models that influence multi-million-dollar decisions and collaborate with engineering and product teams to translate operational problems into measurable outcomes.

Required: 2+ years in data science, strong SQL/Python, and ML/STAT skills; Master’s degree preferred; AWS experience desirable.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of SQL, Python or statistical software experience.
• 3+ years of ML/statistical modeling and data analysis tools.
• Experience communicating technical concepts to non-technical audiences.

Responsabilités

• Design and implement ML and optimization solutions (forecasting, MIP/LP, DL).
• Drive end-to-end delivery of scalable models (data exploration to deployment).
• Develop modeling patterns for forecasting and optimization.
• Build validation, backtesting, monitoring pipelines; reduce leakage and bias.
• Define model performance metrics tied to business outcomes.

Connaissances

SQL

Python

Machine Learning

Data storytelling

Time-series forecasting

Formation

Master's degree in STEM

Outils

AWS S3

AWS Redshift

AWS SageMaker

AWS EMR

Description du poste

Job ID: 10558285 | Amazon.com Services LLC

The NASC & TOM Science team owns Operations Research, Machine Learning, and AI projects across the North America Sort Center (NASC) and Transportation Operations Management (TOM) planning and operations organizations. We turn complex network, labor, and capacity problems into deployed models that drive multi-million-dollar planning decisions every day.

As a Data Scientist II, you will own the end-to-end Machine learning Operation cycle: Design, build, and ship machine learning and/or optimization models that directly shape Amazon's middle miles planning decisions. You will own end-to-end delivery — from problem framing with business partners, through modeling and validation, to deployment in internal model hosting platform and integration with downstream planning tools.

You will work on problems such as:

• Long- and short-horizon forecasting
• Network and capacity optimization
• GenAI / agentic systems
• Defect prevention and adaptive planning

You will partner closely with Engineering, Product, Engineering, and stakeholders to translate ambiguous operational pain points into measurable model outcomes.

Key job responsibilities

• Design and implement complex ML and optimization solutions (forecasting, MIP/LP, simulation, Deep learning / foundation model)
• Drive end-to-end delivery of scalable models. From data exploration and feature engineering through training, evaluation, deployment, and post-launch monitoring;
• Develop new modeling patterns and analytical frameworks for forecasting (multivariate, hierarchical, causal-DAG, model-chaining) and optimization;
• Build robust model validation, backtesting, and monitoring pipelines; identify and eliminate sources of leakage, bias, and silent failure;
• Define and own model performance metrics (e.g., WAPE) tied to business outcomes;
• Partner with Data Engineering and Software Development to productionize models and define I/O contracts, packaging, and model CI/CD;
• Excellent communication to present findings, tradeoffs, and recommendations clearly to stakeholders and senior leadership.

Basic Qualifications

• 2+ 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 communicating technical concepts to a non-technical audience
• Proficiency in statistical modeling and machine learning — time-series forecasting, regression, tree-based methods, and deep learning.

Preferred Qualifications

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

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.

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 at https://amazon.jobs/en/benefits .

USA, WA, Bellevue - 136,000.00 - 184,000.00 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. Veterans, military spouses, and people with disabilities are encouraged to apply.