Description

You will own the design, development, and operationalization of complex analytical and optimization solutions.

Responsibilities

• Oversee large-scale data ingestion, cleaning, transformation, and storage pipelines using distributed processing frameworks.
• Guide the design and implementation of optimization models for scheduling, routing, and resource allocation using solvers like Gurobi.
• Create dashboards, KPIs, and visualizations, communicating analytical insights and model performance to stakeholders.
• Ensure teams utilize development tools effectively and guide the deployment and orchestration of data pipelines via CI/CD.
• Apply advanced algorithms, including MILP, CP, and various regression/classification models, to solve business problems.

Required Skills

• 15+ years experience in data science, analytics, or operations research.
• Expert proficiency with PySpark, Pandas, and NumPy for data processing.
• Hands-on experience with cloud analytics platforms including Azure Databricks, Blob Storage, and Synapse Analytics.
• Strong background in machine learning, statistical modeling, and optimization algorithms.
• Proficiency with Python 3.x, Poetry, Bash, and Git.
• Experience implementing solutions using Mixed-Integer Linear Programming (MILP) and Constraint Programming (CP).
• Familiarity with visualization tools like Plotly and Matplotlib.
• Experience managing technical teams and delivering production-ready solutions.

Key Skills

Education

Any Gradute