Data Scientist, LM Planning, LM Science & Analytics Automation

Have you wondered at the speed at which your Amazon purchase arrived at your door, in that box with a smile? wondered where it came from and how much it cost Amazon to deliver it to you? Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists to develop solutions that optimize our delivery network topology, strategically maximizing Customer Experience while minimizing cost to serve and increasing speed.

About the role

You will partner with the Scientific community to design optimization and strategy, and collaborate with technical teams developing automated tools for network flow and execution systems. You will work directly with business leadership and operational stakeholders to influence their strategy and gather inputs to solve problems.

To be successful, you will need deep analytical skills, a strong scientific background, and excellent communication skills to translate technical content into business-friendly narratives. The role requires the ability to influence across business functions at different levels, including your own team. You will work in a fast-paced environment that demands detail-orientation and comfort collaborating with data, science, business, and technical teams.

Responsibilities

• Design and develop mathematical, statistical, and optimization models to optimize Delivery Network Topology design.
• Manage several high-impact projects simultaneously.
• Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities for optimizing Delivery Network Topology.
• Communicate data-driven insights and recommendations to diverse stakeholders through technical and/or business papers.
• Leverage LLMs to improve explainability of optimization and drive engagement from volume planning and demand planning stakeholders.
• Define measurement frameworks for optimization solutions where no prior art exists and own the scientific framework for ‘Topology Plans’ multi-contact journey.
• Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs.
• Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and cost.
• Design driver-analysis and bridging methods explaining KPI movement (WoW, MoM, YoY, vs OP2) across dimensions for "why."
• Partner with teams in productionizing solutions; own AWS tech stack compliance (Shepherd risk, App Security red-certification, Kale, Legal, Threat Models for scientific assets).
• Mentor team members; provide promotion assessments; contribute to hiring at DS II and DS III levels.
• Represent LM Planning in the broader Amazon Data Science community.
• Produce design and technical documentation.
• Review current solutions, challenge assumptions, and identify improvements to increase coding velocity, accuracy, and quality of scientific solutions.
• Research reusable tools/techniques and translate them for adoption.

About the team

Last Mile is the final stage of an Amazon purchase. The LM Strategic Planning team designs and plans the Delivery Station Network. This network continues to grow multi-fold in North America, AMET, and emerging markets, delivering better customer experience and speed. This growth will help Amazon gain the largest share of the distribution network in every country worldwide.

LM Strategic Planning-Science Analytics & Automation provides foundational solutions for a network expansion roadmap that looks 1–5 years ahead.

Qualifications

Basic Qualifications

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

Preferred Qualifications

• 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 defining and creating benchmarks for assessing GenAI model performance.
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

Pay

Base salary range: $136,000.00 – $184,000.00 USD annually (Bellevue, WA). Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and 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 amazon.jobs/en/benefits.