Data Scientist II, WW DSP Analytics

Description

The WW DSP Analytics team is a centralized analytics organization within Amazon's Last Mile Delivery Service Partner (DSP) program. We build best‑in‑class solutions that enable data‑driven decision making across our global DSP ecosystem. The team partners with internal stakeholders, DSP owners, and cross‑functional teams to deliver insights that drive operational excellence, business growth, and the success of small business owners in Last Mile delivery.

Our work directly impacts customer experience, driver and station associate experience, DSP success, and Amazon's sustainable growth.

• Design and implement data science solutions that optimize DSP capacity allocation and business health measurement across the global DSP network.
• Leverage mathematical optimization and causal inference to improve capacity planning models, volume share calibration methodologies, and business health measurement systems for partner sustainability.
• Analyze sentiment risks and enhance algorithms that support DSP program management, including business health indicators, capacity reliability models, and partner viability frameworks.
• Translate high‑level DSP capacity planning and business health improvement requirements into optimization formulations and predictive models, evaluating return on investment for policy changes and network interventions.
• Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self‑service analytics for DSP stakeholders.
• Partner with Data Engineers to expand GenAI tools, improve developer productivity, and enable intelligent automation across capacity planning workflows.
• Mine and analyze complex datasets across multiple domains (business health metrics, financial data, capacity signals, operational data) to generate actionable insights.
• Collaborate in a fast‑paced analytics organization, communicating analytical risks, critiquing peer work, and aligning research focuses with DSP capacity planning strategic needs.
• Work closely with Business Intelligence Engineers, capacity planning teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful outcomes.

• Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or equivalent STEM experience.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience with machine learning / statistical modeling, data analysis tools and techniques, and understanding of how parameters affect performance.
• 2+ years of data scientist experience.
• 2+ years of experience in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• 1+ year of experience working with or evaluating AI systems.
• Demonstrated ability to apply quantitative analysis to solve business problems and make data‑driven business decisions.
• Strong written and verbal communication skills for effectively conveying complex concepts.

• Ph.D. in a quantitative field such as econometrics, statistics, industrial engineering, operations research, optimization, data mining, or analytics.
• Experience in a machine‑learning or data scientist role at a large technology company.
• Knowledge of machine‑learning concepts and their application to reasoning and problem‑solving.
• Experience implementing algorithms using both toolkits and self‑developed code.
• Experience defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi‑team, cross‑disciplinary projects.

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, please visit (Use the "Apply for this Job" box below). for more information. The base salary range for this position is $ – $ USD annually, and the package includes sign‑on payments and restricted stock units (RSUs).

Comprehensive benefits include health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, supplemental life plans, Employee Assistance Program, 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 about our benefits at .