Data Scientist - Python/Data Modeling

Description :

Must-Have :

- Strong experience with Python and Data Modeling.

- Data Modeling (Strong), Operations Research, Optimization, Python (Strong)

- 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.