Bachelor’s degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field. 3+ years of experience developing analytical or optimization models in Python. Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS). Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries). Experience integrating and standardizing heterogeneous enterprise datasets. Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment. Ability to translate business problems into structured analytical frameworks. Strong written and verbal communication skills with experience working cross-functionally.