Description

You will lead cross-functional AI/ML initiatives, driving enterprise-wide AI vision and strategy.

Responsibilities

• Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
• Implement prescriptive analytics using optimization techniques like Linear Programming, Mixed Integer Programming, or Reinforcement Learning.
• Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow.
• Design and execute A/B tests or quasi-experiments to measure revenue and pricing uplift impact.
• Apply SHAP/LIME and other model interpretability tools to explain model behavior to business partners.
• Contribute to CI/CD workflows in Azure DevOps and develop scalable API and batch-serving patterns.

Required Skills

• 5+ years of hands-on Data Science experience delivering production-grade ML solutions.
• Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow.
• Strong understanding of experimental design, statistical testing, and causal inference basics.
• Experience with time series forecasting, price elasticity modeling, and panel data techniques.
• Familiarity with linear and mixed-integer programming; exposure to OR-Tools or Gurobi is beneficial.
• Working proficiency with model transparency frameworks like SHAP and LIME.
• Ability to write modular, maintainable code and participate in code reviews.
• Skilled in stakeholder alignment and communicating technical trade-offs to executive audiences.

Key Skills

Education

Any Graduate