Data Science Optimization Lead
7 days ago
We are seeking a highly skilled professional to lead an internal optimization initiative. This role requires developing and implementing mathematical models to optimize resource allocation, process performance, and decision-making.
Key Responsibilities:
- Design and deploy data science projects focused on optimizing business processes.
- Develop mathematical models to optimize resource allocation, process performance, and decision-making.
- Collaborate with stakeholders to gather requirements and translate them into actionable insights.
Skills Required:
- Strong background in data science, operations research, and mathematical optimization.
- Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX.
- Experience with the end-to-end lifecycle of internal optimization projects.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Qualification:
- Master's or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field.
This is a unique opportunity for a Data Science expert to drive business growth and improvement through data-driven decision making.
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