Data Scientist

Must have Skills : 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.