New Amazon Data Scientist Jobs in WA: $158K–$269K Compensation

Amazon is actively hiring Data Scientists across Washington (WA), offering high-impact roles with compensation ranging from $158,000 to $269,000 per year. These roles sit at the intersection of machine learning, large-scale data systems, and business strategy—ideal for candidates who can translate complex datasets into actionable insights. With Amazon’s continued investment in AI and data-driven decision-making, these positions provide strong career growth, cutting-edge exposure, and highly competitive pay packages aligned with industry benchmarks.

Job Overview

Job Description

Join Amazon’s Customer Delivery Experience (CDE) Science Team as a Data Scientist I to improve global logistics through data-driven modeling and analysis. Our team applies advanced machine learning and statistical techniques to enhance delivery experiences for millions of customers worldwide. Working collaboratively with Amazon’s logistics operations teams, you will implement proven ML solutions and contribute to continuous improvements across our global fulfillment and delivery network.

Key job responsibilities

• Build and validate predictive models for delivery time estimation using historical delivery data, weather patterns, and traffic information
• Implement classification models to identify delivery exceptions and risk factors using established ML frameworks
• Apply feature engineering techniques to extract meaningful signals from transportation and logistics data
• Conduct exploratory data analysis on delivery performance metrics to identify improvement opportunities
• Create data visualizations and reports to communicate findings to operations partners
• Partner with logistics operations teams to understand business requirements and translate them into modeling approaches
• Document model methodologies, assumptions, and limitations for team knowledge sharing
• Participate in code reviews and contribute to team best practices
• Seek feedback from senior team members on proposed solution approaches and methodologies

About the team

The Customer Delivery Experience (CDE) Science Team combines advanced machine learning with transportation logistics expertise to optimize delivery operations at scale. You’ll work alongside data scientists, machine learning engineers, and operations partners to solve complex logistics challenges that directly impact customer satisfaction.

Basic Qualifications

• Bachelor’s degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience communicating technical concepts to a non-technical audience
• 1+ years of experience building supervised learning models (regression, classification) from problem definition through deployment
• Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent
• Strong SQL skills for data extraction and transformation from relational databases
• Experience with model evaluation techniques including cross-validation, performance metrics (RMSE, AUC, precision/recall), and statistical testing

Preferred Qualifications

• Experience working with or evaluating AI systems
• 2+ years of experience in data science or machine learning roles
• Experience with transportation, logistics, or supply chain optimization problems
• Familiarity with Amazon SageMaker, AWS services, or similar cloud ML platforms
• Experience with gradient boosting frameworks
• Knowledge of time-series forecasting or geospatial analysis techniques

Selection Process

The hiring pipeline for Amazon Data Scientist roles typically follows a structured evaluation model:

1. Online Application
   Submit your application via Amazon’s careers portal.
2. Resume Screening
   Recruiters shortlist candidates based on technical skills, experience, and project relevance.
3. Technical Assessment / Coding Round
   May include problem-solving, SQL queries, or ML case studies.
4. Interview Rounds (2–5 rounds)
   • Technical deep dive (statistics, ML, data handling)
   • Case studies / real-world problem solving
   • Behavioral interviews based on Amazon Leadership Principles
5. Final HR Round
   Compensation discussion and offer rollout.

How To Apply

1. Visit the official Amazon Careers website.
2. Search for “Data Scientist – Washington” roles.
3. Filter based on experience level or team (AWS, Retail, Alexa, etc.).
4. Prepare a tailored resume highlighting:
   • Data science projects
   • Machine learning models
   • Business impact metrics
5. Submit your application and track status via your profile.