Use analytical expertise to create innovative solutions to supply chain and commerce execution, planning, and strategy problems.
Formulate and prototype mathematical models and analyses that serve as the foundation for future products and modules.
Collaborate with software engineers to integrate these models, engineer solutions to computational challenges, and ensure a successful deployment to the Deposco platform.
Work with product owners to design product features enabled by data science methods.
Support Business Development by analyzing how our solutions drive supply chain-enabled growth.
Design and deploy solutions to the Deposco platform, affecting real value in customers’ businesses.
Requirements
M.S. (Ph.D. preferred) in Operations Research, Machine Learning, Computer Science, Mathematics, or related mathematical science, or equivalent experience.
Strong development skills in Python (additional experience in Java is a plus).
Fluent with SQL and relational database concepts.
Strong understanding of mathematical optimization methods (e.g. mixed-integer linear programming, convex optimization, dynamic programming, network flows).
Strong understanding of stochastic processes and (Monte Carlo, discrete-event) simulation methods.
Strong understanding of statistical learning (regression modeling) and AI methods (structural causal models, generative LLMs).
Understanding of macroeconomics and supply chain concepts is a plus.
Experience with data visualization tools, such as Domo or Tableau, is a plus.
Excellent written and verbal communication.
A sense of curiosity, self-motivation, and a love of learning.