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Lead Data Scientist
2 months ago
We are seeking a highly skilled Senior Data Optimization Lead to join our team at Discovered MENA. As a key member of our data science team, you will be responsible for leading the development of advanced optimization solutions that drive business growth and efficiency.
Key Responsibilities- Develop Scalable Optimization Solutions: Design and implement robust optimization solutions that significantly improve efficiency using the latest in machine learning and operations research.
- Prototype to Production: Transition optimization model prototypes into fully integrated, scalable applications that deliver real business impact.
- Drive Business Insights: Use optimization models to generate actionable insights, driving strategic decisions and communicating them effectively to stakeholders.
- Optimization Specialization: Develop cutting-edge algorithms to solve complex problems in logistics, scheduling, resource allocation, and more.
- Ensure Data Integrity: Conduct thorough data audits to power effective optimization solutions.
- Advanced Expertise: Master's degree (or equivalent) in Operations Research, Computer Science, Engineering, or related field with a strong focus on optimization.
- Proven Experience: 5-7+ years in quantitative analytics, data modeling, or operations research, with deep knowledge of optimization techniques.
- Technical Skills: Proficient in Python, SQL, and optimization libraries (e.g., PuLP, Gurobi, CPLEX).
- Leadership in Optimization: Experience leading complex optimization projects, mentoring teams, and managing cross-functional initiatives.
- Machine Learning Integration: Expertise in integrating optimization with machine learning techniques (e.g., TensorFlow, PyTorch).
- Cloud and MLOps: Familiarity with deploying and managing models on cloud platforms (AWS, GCP, Azure) and using MLOps tools (MLFlow, BentoML).
- Ethical AI: Strong understanding of AI ethics in optimization and a commitment to continuous learning.