The opportunity: 

We're in search of a Staff Data Scientist to join our supply chain automation team. This role is ideal for someone deeply passionate about applied research and optimization, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management.

You will:

• Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions.

• Lead the research, development, and deployment of large-scale planning optimization solutions, driving improvements in efficiency and scalability.

• Conduct research and analysis to inform the development of models and algorithms, establishing appropriate metrics and success criteria.

• Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Operations Research, Machine Learning, and Statistics.

• Tackle complex data analysis problems using innovative analytical methods, effectively communicating findings to technical and non-technical stakeholders.

• Provide analysis for launched solutions to quantify outcomes based on real-world results.

You should have:  

• PhD or MS (or equivalent industry experience) in quantitative fields such as Operations Research, Computer Science, Mathematics, or related technical disciplines.

• 7+ years of industry experience solving complex problems in operations research and developing solutions for large-scale supply chain, transportation, and fulfillment networks.

• Expertise in modeling, algorithm design, engineering, and implementation, particularly in optimization methods for linear, mixed-integer, and dynamic programs.

• Strong software development skills using languages like Python, Java, C, C++, or C#, with experience working with large datasets and big data analytics tools (e.g., SQL, Python, Perl).

• Familiarity with commercial/open-source solvers and MIP solution strategies to design and deploy practical solutions.

• Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels.

It would be great if you additionally have:

• Experience in designing and implementing large-scale optimization solutions (e.g., fulfillment planning, inventory management, scheduling, routing, network design, etc.).

• Experience designing and deploying large-scale optimization algorithms (e.g., decomposition methods, heuristics/metaheuristics, and hybrid methods).

• Experience designing solutions for ambiguous business and operational problems, particularly the ability to model decision problems at the appropriate level of abstraction.

• Knowledge of the AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).