Data Scientist, North America Sort Centers, Amazon Transportation Services

Amazon Inc.; Asti; Ibrido; EUR 120.000 - 162.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) matching

Paid time off

Parental leave

Descrizione del lavoro

Amazon.com Services LLC NASC & TOM Science team seeks a Data Scientist II to design, build, and ship ML and optimization models shaping mid-mile planning decisions. You will own end-to-end delivery from problem framing with business partners, through modeling and validation, to deployment in internal hosting platforms and integration with planning tools.

You will work on forecasting, network optimization, GenAI, and adaptive planning, partnering with Engineering and stakeholders to translate

Competenze

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) or scripting languages (Python) experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques.

Mansioni

• Design and implement ML/optimization solutions (forecasting, MIP/LP, DL).
• Drive end-to-end delivery of scalable models from data exploration to deployment.
• Develop modeling patterns for forecasting and optimization.
• Build validation, backtesting, and monitoring pipelines.
• Define model performance metrics tied to business outcomes.
• Partner with Data Eng and Software Dev to productionize models.
• Communicate findings clearly to stakeholders.

Conoscenze

SQL

Python

ML

Time-series forecasting

Deep learning

Communication

R

SAS

Matlab

Formazione

Master's degree in STEM

Strumenti

AWS S3

Redshift

SageMaker

EMR

Kinesis

Lambda

EC2

Descrizione del lavoro

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.

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

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.

Benefits

• 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

Learn more about our benefits at https://amazon.jobs/en/benefits.