Related skills
sql python pandas numpy scipy📋 Description
- Design, build, and deploy DS/optimization models across ops domains (workforce, supply chain)
- Own use cases end-to-end: problem definition, experiments, delivery
- Work in a small, agile squad with concurrent DS/optimisation streams
- Prototype and industrialise ML and optimization models in Python with engineering practices
- Build robust data pipelines, testing, logging, and CI/CD for production solutions
- Translate operational challenges into analytics and communicate results to stakeholders
🎯 Requirements
- Recent hands-on experience with Operations Research and optimization
- Expertise in optimization techniques (linear, nonlinear, MILP, CSP, scheduling)
- Proficiency in Python and libraries: SciPy, OR-Tools, Gurobi, CPLEX, Pandas, NumPy
- Strong data engineering skills: SQL, data pipelines, data quality
- Productionising models on cloud (AWS), experiment tracking, orchestration, CI/CD
- Background in aviation, logistics, supply chain, or retail is preferred
🎁 Benefits
- An opportunity to join a fast-growing company
- Career advancement opportunities
- Flexible working environment
- Competitive salaries based on experience
- Learning and development opportunities
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