Senior Data Scientist – Optimization
We’re hiring a Senior Data Scientist with strong Optimization / Operations Research expertise to join a high-impact team working on complex aviation problems.
This is not a typical ML-focused Data Scientist role — the focus is on building and deploying advanced optimization models to drive real‑world decision-making at scale.
What you’ll be doing
- Design and develop optimization models (Linear, Non‑linear, Mixed Integer Programming, Constraint‑based)
- Translate complex business problems into mathematical frameworks
- Work closely with Analytics, Product, and Engineering teams to deliver data‑driven solutions
- Build end‑to‑end solutions: data exploration → modeling → validation → deployment
- Apply optimization techniques to scheduling, resource allocation, and planning problems
- Ensure models are scalable, robust, and production‑ready
- Communicate insights and trade‑offs clearly to senior stakeholders
- Mentor junior data scientists and review technical work
Must‑have experience
- Strong hands‑on experience with optimization modelling (non‑negotiable)
- Expertise in: Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Optimization
- Experience in areas such as: Crew scheduling / pairing, Aircraft / flight scheduling, Network or fleet planning, Resource allocation / operations planning
- Proficiency in Python with tools like: Pyomo / PuLP, OR‑Tools, Gurobi / CPLEX
- Strong foundations in mathematics, statistics, and algorithms
- Experience solving real‑world optimization problems (not just academic)
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