Data Scientist (Optimization Science)

About the role

A lot of the work in early-stage operations is really an optimization problem in a trench coat. Warehouse layouts, labour shifts, vehicle routing, slot allocation, scheduling — the difference between a good answer and a great one moves real money. As Data Scientist (Optimization Science) at 9minds you will reach for linear programming, mixed-integer programming, constraint satisfaction, heuristic search, and simulation, and pick the right one for the problem in front of you.

What you will do

• Sit with operators and founders, understand the real constraints, and turn fuzzy operational pain into formal models
• Solve real instances — at production scale, with messy data, against deadlines that matter
• Build solvers and heuristics that ship, not papers that don’t
• Pair with engineers to embed solvers behind clean APIs and feedback loops
• Validate against the truth (operations on the ground), not just against the model

What we are looking for

• Strong foundations in operations research, mathematical optimization, or applied mathematics
• Production experience with at least one solver ecosystem and one general-purpose programming language
• Comfort with messy real data, partial information, and changing constraints
• Pragmatism about when an optimal solution is overkill and a heuristic ships
• Curiosity about the operational domain — logistics, supply chain, manufacturing, energy, scheduling

What we offer

• Real operational problems with real money on the table
• A small senior team that respects the craft
• Hybrid in Tel Aviv or fully remote