Sr. Applied Scientist, SCOT-Inbound Systems

Sr. Applied Scientist, SCOT-Inbound Systems

As part of the grocery replenishment organization, Sr. Applied Scientists own inventory optimization, distribution optimization, and end-to-end modeling/simulation of Amazon grocery supply chain utilizing optimization and machine learning toolsets. We are looking for a talented and experienced applied scientist with a passion for designing and implementing elegant scientific solutions for Amazon‑scale problems.

• Design and develop advanced mathematical optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in inventory optimization, distribution optimization, network design, and control theory.
• Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed‑integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) to design optimal or near‑optimal solution methodologies for in‑house decision support tools.
• Research, prototype, simulate, and experiment with these models using modeling languages such as Java, Python, MATLAB, Mosel or R; participate in production‑level deployment.
• Work closely with software engineering teams, write production well‑tested Java code for science modules, provide on‑call support for high‑severity production issues, and improve legacy scientific production code quality.
• Create, enhance, and maintain technical documentation and science designs.
• Present to scientists, product, and software engineering teams, and stakeholders.
• Lead project plans from a scientific perspective by managing product features, technical risks, milestones, and launch plans.
• Influence the organization’s long‑term roadmap, onboard new technologies onto the Science team’s toolbox, and mentor other scientists.

• Engage with customers to understand their problems.
• Collaborate with product partners and peers to design and deliver algorithmic solutions.
• Implement solutions in Java within engineering systems, ensuring high code quality.
• Deploy and measure the impact of implementations.
• Support customers and stakeholders with deep‑dives and enhancements related to scientific products.
• Contribute to the product roadmap through new innovations.
• Publish work in internal and external scientific communities.

SCOT IB GRO Science team is comprised of applied scientists with strong optimization & ML science depth and object‑oriented programming & design patterns knowledge. Given the scale of problems we solve and the mission‑critical nature of our solutions, a systems‑thinking approach with attention to algorithmic complexity, solution quality, simplicity, and extensibility is critical. We collaborate with engineering teams and prioritize solving problems with minimally complex solutions while maintaining quality.

Our solutions consistently improve customer experience with maximum transparency and explainability. We strive for every team member to be knowledgeable about every product, and we publish our work in scientific communities when we produce novel solutions.

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
• 3+ years of building machine learning models or developing algorithms for business applications.
• 3+ years of industry or academic research experience.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.

• Domain expertise in inventory and/or distribution optimization problems.
• Expertise in optimization: linear, non‑linear, mixed‑integer, large‑scale, network, robust, stochastic, decomposition methods.
• Expertise in building optimization models and implementing them using OR tools (e.g. XPRESS, Gurobi, CPLEX).
• Expertise in design and analysis of algorithms.
• Experience with object‑oriented programming concepts and programming in Java / Kotlin.

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 during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

Salary: CAN, ON, Toronto –  –  CAD annually. Amazon offers a comprehensive benefits package including health insurance, Registered Retirement Savings Plan, Deferred Profit Sharing Plan, paid time off, and resources to improve health and well‑being.

Posted: November 10, 2025 (Updated 2 days ago)