Data Scientist (Cost Optimization)

Join our team as a Data Scientist specializing in Cost Optimization. In this role, you will be responsible for owning the unit economics of our network costs, building models and optimizations to determine the most cost-efficient configuration for our networks. You will validate these models against real financial data and turn your analysis into actionable business decisions. This position requires strong communication skills, hands-on experience in optimization problems, and a background in data science or cost analytics.

Missions

• Construire et exécuter des modèles de coûts et des optimisations pour déterminer la configuration la plus efficace.
• Valider les modèles de coûts par rapport aux factures des opérateurs et aux données financières.
• Surveiller, prévoir et gérer l'utilisation groupée et les dépenses réseau, en recommandant des actions correctives.

Profil recherché

- Hands-on experience formulating and solving optimization problems (linear programming, cost modeling, marginal-cost analysis, or similar) that informed real business decisions

- Strong business judgment, with experience owning a commercial or cost recommendation end-to-end

- 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics - ideally where your recommendations carried real financial impact

- Experience validating analytical models against external financial data (invoices, bills, or settlements)

- Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization

- Demonstrated use of AI in your day-to-day workflow - LLM-assisted coding or prompt-driven data exploration

- Proficiency in Python

- Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar)

- Telecom, MVNO, or other usage-based/wholesale cost domain experience; cloud cost management (FinOps)