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Job description: Data Scientist – Optimization Models:
- We’re looking for a highly skilled Data Scientist with exceptional programming abilities to contribute to the development and enhancement of optimization models ( Mixed Integer Linear Programming,...).
- You’ll own the full ML lifecycle, from data exploration and model development to deployment and monitoring, delivering scalable, production-grade solutions that create real customer impact.
Responsibilities:
- Design, develop, and maintain existing optimization models.
- Refactor and improve underlying code for clarity, scalability, and maintainability.
- Improve performance and reliability of the production systems.
- Collaborate with Data Scientists, ML Engineers, and Product Managers to deliver impactful features.
- Apply MLOps best practices for deployment, monitoring, and maintenance.
- Perform ad-hoc data analysis and visualization to support decision-making.
Required Skills:
- Exceptional Python programming skills—you write clean, efficient, and production-ready code.
- Proven experience in developing and deploying optimization models in industrial settings.
- Strong hands-on experience with optimization models including MILP solvers (using OR-Tools, Gurobi, or similar.)
- Strong SQL skills for data manipulation and analysis.
- Solid understanding of MLOps and CI/CD pipelines, preferably in GCP (Vertex AI).
- Proficiency with Git and version control workflows.
- Experience building and maintaining REST APIs.
- Familiarity with DBT for data transformation.
- Comfortable working in Agile, cross-functional teams.
- Strong collaboration skills and ability to work effectively in complex, ambiguous problem domain.
Required cloud certification: No
Period from: 2025-10-20
Period to: 2026-04-30
Pay Rate: Negotiable
Way of Working: Remote Work Possible
Workload: 100%
If interested, or you know someone that could be, please reach out and we can arrange a time to speak?
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