Key skills
PythonAIRemote Work
About this role
Role Overview
- Formulate and solve optimization problems behind Rocket’s intelligence layer
- Build the forecasting layer the optimizer consumes: transient demand forecasts by segment and stay date
- Build the analytical layer that tells a hotel why
- Establish the methodological standard: reproducible experiments, benchmark instances, ablations against heuristic baselines
- Collaborate with the AI team to optimize group's pricing and capacity allocation
Requirements
- MSc or PhD in Operations Research, applied mathematics, industrial engineering, computer science, or a comparable quantitative field
- Solid grounding in mathematical optimization: LP/MILP formulation and solution techniques, and ideally stochastic or robust optimization
- Hands-on experience with at least one industrial solver (Gurobi, CPLEX, OR-Tools, HiGHS) beyond coursework
- Strong Python and the engineering discipline to ship models as maintainable production services, not notebooks
- Statistical modeling and forecasting competence (time series, probabilistic models, backtesting)
- Ability to translate a messy business problem into a well-posed formulation — and to explain the solution to a non-mathematical stakeholder
- Strong English (B2–C1), German (min. B2)
Tech Stack
- Python
Benefits
- Performance bonuses for demonstrable results
- Multi-day team events in places that are actually fun
- Flexible remote work arrangements
- Short path to management team decisions