Data Scientist

Must have Skills : Data Modeling (Strong),Operations Research,Optimization,Python (Strong)

Red is criticalBlue is almost criticalBlack is nice to have

• A Masters degree or equivalent experience in Data Science, Computer Science, Operations Research, Industrial Engineering, or a related quantitative field.
• Strong expertise in Python and software engineering principles — version control, testing, modular coding, and CI/CD workflows.
• Demonstrated experience deploying models using APIs, microservices, or cloud platforms (e.g., AWS, GCP, Azure).
• Experience building and maintaining MLOps workflows using tools like MLflow, Kubeflow, Airflow, or similar.
• Solid background in optimization and algorithm design (mixed integer programming, heuristic methods, simulation modeling).
• Familiarity with optimization solvers and modeling frameworks such as Gurobi, CPLEX, Pyomo, or OR-Tools.
• Proficiency in data engineering concepts, including SQL, ETL, data modeling, and data quality management.
• Strong understanding of statistical learning and ML fundamentals — linear models, ensemble methods, clustering, and evaluation metrics.
• Experience working in cross-functional product teams alongside software engineers and UX designers.
• Excellent communication skills and the ability to bridge technical and non-technical stakeholders.
• A mindset focused on scalability, maintainability, and engineering rigor — balancing analytical depth with production readiness.