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Wave Recruitment - Demo
A leading consulting company is seeking a Data Scientist for a six-month full-time remote contract. The ideal candidate will handle the full machine learning lifecycle, focusing on developing and enhancing optimization models. You will work collaboratively with cross-functional teams to improve production systems and apply MLOps best practices. Exceptional Python skills and strong experience with optimization models are required.
Required for a six month full-time, remote contract, a highly skilled Data Scientist with exceptional programming abilities in Python.
Role: 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.
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.
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.
We are an equal opportunities employer and welcome applications from all qualified candidates.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.