Data Scientist II, WW DSP Analytics

Job Overview 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. Our 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. Key Responsibilities Develop science solutions for DSP capacity planning and business health, designing and implementing data science solutions that optimize capacity allocation and business health measurement across the global DSP network. Analyze sentiment risks and business health metrics, enhancing algorithms that support DSP program management and partner viability frameworks. Translate business requirements into mathematical models, applying optimization formulations and predictive models to quantify ROI for policy changes and network interventions. Build production‑scale analytics, contributing to scalable data models, dashboards, and automated reporting systems that enable self‑service analytics for DSP stakeholders. Accelerate GenAI footprint by partnering with Data Engineers to expand GenAI tools and improve developer productivity. Conduct independent data analysis across multiple domains, using programming and statistical tools to generate actionable insights. Thrive in a collaborative environment, communicating analytical risks and aligning research focuses with DSP capacity planning needs. Partner cross‑functionally with Business Intelligence Engineers, capacity planning teams, and DSP stakeholders to define KPIs and validate analytical approaches. Basic Qualifications Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or an 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 machine‑learning/statistical‑modeling experience, including tools and techniques that affect performance. 2+ years of data‑scientist experience. 2+ years 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. Experience applying quantitative analysis to solve business problems and making data‑driven business decisions. Strong written and verbal communication skills. Preferred Qualifications Ph.D. in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or an equivalent quantitative field. Experience in an ML or data‑scientist role with 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 workplace accommodation during the application and hiring process, please visit for more information. The base salary range for this position is USD 136,000.00 – 184,000.00 annually (USA, WA, Bellevue). 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, dental, vision, prescription, Basic Life & AD&D insurance, 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 about our benefits at #J-18808-Ljbffr Amazon Science