Senior Research Scientist, Fulfillment by Amazon (FBA) Science

Senior Research Scientist, Fulfillment by Amazon (FBA) Science

Job ID: 3197822 | Amazon.com Services LLC

The Fulfillment by Amazon (FBA) Science team is looking for a passionate, curious, and creative Senior Research Scientist with deep expertise in statistical modeling, machine learning, and large language models (LLMs). Our team sits at the intersection of supply chain science, seller behavior modeling, and policy analytics — building the forecasting backbone that powers FBA’s shipment creation, inbound arrival planning, and inventory management.

We develop solutions that predict seller shipment creation patterns, model inbound arrival timing and quantity, and forecast inventory levels across Amazon’s fulfillment network. A key challenge is understanding how seller behavior changes—driven by market dynamics, FBA policy updates, and incentive structures—and how these shifts propagate into forecasting signals. Our goal is to build forecasting systems that are accurate, explainable, and actionable for both internal stakeholders and sellers.

As a Senior Research Scientist, you will propose and deploy solutions drawing from statistical learning, machine learning, econometrics, operations research, and generative AI. You will work closely with scientists, engineers, and product teams to integrate scientific work into production systems.

Key job responsibilities

• Build and advance Amazon’s FBA shipment creation, inbound arrival, and inventory forecasting systems.
• Research and develop statistical, ML, and LLM‑based solutions to forecast seller shipment behavior, inbound arrival patterns, and inventory levels.
• Model and quantify the impact of seller behavior changes and FBA policy updates on forecasting accuracy, and develop robust approaches that adapt to these dynamics.
• Build explainability frameworks for forecasting models.
• Define a long‑term science vision and roadmap, translating directions into specific plans for research, applied scientists, engineering, and product teams.
• Drive forecasting science projects end‑to‑end: ideation, analysis, prototyping, development, deployment, metrics definition, and monitoring.
• Review and audit modeling processes and results for other scientists.
• Advocate the right science solutions to business stakeholders, engineering teams, and executive decision makers.

A day in the life

You will be a technical leader in forecasting science with significant scope, impact, and high visibility. Your solutions directly influence billions of dollars in inventory decisions and seller experience across Amazon’s global network. You will be involved in every aspect of the process—from idea generation and business analysis to scientific research, development, and deployment of advanced models. You will collaborate with the broader research community and mentor engineers and scientists.

Basic Qualifications

• PhD, or Master’s degree and 5+ years of quantitative field research experience.
• 3+ years investigating the feasibility of applying scientific principles and concepts to business problems and products.
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive.
• Experience communicating qualitative research methods and findings to non‑qualitative researchers.
• Experience in standard machine‑learning and statistical modeling tools (e.g., random forests, gradient‑boosted regression, LASSO, logistic regression).
• Proficiency working with Python and other high‑level languages (Java/C++/Scala) with at least 5 years of coding experience.

Preferred Qualifications

• Extensive knowledge of time‑series forecasting, Bayesian methods, causal inference, deep learning, LLMs, and reinforcement learning.
• Experience building model explainability frameworks for production forecasting systems.
• Practical experience building and evaluating deep learning models using major frameworks (PyTorch, TensorFlow, or similar).
• Significant peer‑reviewed scientific contributions in premier journals and conferences.

Amazon Equal Opportunity Statement

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Benefits

Amazon offers a comprehensive benefits package including health insurance (medical, dental, vision, prescription, Basic Life & AD&D, and 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.

Compensation

The base salary range for this position is listed below. 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.

Location

USA, WA, Bellevue — $159,200.00 – $215,300.00 USD annually.