Data Scientist II, Operations Technology Solutions, Global Workforce Management

Amazon • Nashville, TN

1d

About The Position

Join Amazon's Global Workforce Management team as a Data Scientist II and Model
Enhancement Specialist, where you'll develop and validate advanced forecasting
models that optimize staffing for one of the world's largest operations
networks. In this role, you'll apply cutting-edge machine learning and
statistical modeling techniques to solve complex workforce optimization
challenges across global regions. This position offers the opportunity to drive
technical innovation in workforce analytics, collaborate with cross-functional
data teams, and directly impact strategic planning decisions for Operations
Technology Solutions.

As the Model Enhancement Specialist, you'll begin your day reviewing model
performance metrics and validation results across multiple workforce forecasting
systems. You'll collaborate with data engineering teams to refine algorithms,
then work with business stakeholders to translate complex technical concepts
into actionable insights. Your afternoons might involve developing new scenario
modeling approaches in Python or R, conducting statistical analysis to improve
forecast accuracy, or presenting technical findings to OTS Leadership. You'll
regularly work with cross-functional teams to integrate analytical solutions,
validate model outputs against real-world outcomes, and identify opportunities
for technical innovation in workforce optimization.

The Global Workforce Management (GWM) team is at the forefront of applying
advanced analytics and machine learning to workforce optimization at Amazon. We
develop and maintain sophisticated, data-driven forecasting models that predict
demand volume and staffing scenarios for Operations Technology Solutions (OTS)
and expanding organizations across global regions. Our work directly enables
strategic planning and operational decisions that impact millions of customer
orders. The team values technical excellence, innovation in analytical
methodologies, and collaborative problem-solving. We're expanding our modeling
capabilities to new business units and exploring cutting-edge approaches in AI
and machine learning, making this an exciting time to join and shape the future
of workforce analytics at Amazon.

Requirements

• 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
• 1+ years of guiding and coaching a group of researchers experience
• 1+ years of working with or evaluating AI systems experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• Experience applying theoretical models in an applied environment

Nice To Haves

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

Responsibilities

• Validate and enhance forecasting models while developing specialized workforce analytics for field operations
• Create advanced scenario modeling algorithms and support model expansion to new organizations with technical expertise
• Collaborate with data teams to develop validation frameworks and establish technical metrics for model performance
• Design and implement specialized forecasting components with clear performance metrics and implementation paths
• Drive technical innovation in workforce analytics and mentor junior team members on advanced analytical approaches
• Travel up to 10% to support model implementation and stakeholder collaboration

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level