AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
LP
Data Science Lead
Posted via LinkedIn Recruiter (not a company profile)
Posted 4 months ago
About the role
- Data Science Lead role requiring 12+ years experience in data science, analytics, or operations research. Must have expertise in ML, statistical modeling, optimization algorithms, and Azure cloud platforms.
Responsibilities
- Lead data science initiatives, manage multiple technical teams, and deliver scalable, production-ready solutions in predictive modeling, optimization, and advanced analytics. Translate complex models and algorithms into actionable business insights.
Requirements
- 11+ years in data science, analytics, or operations research, including experience managing multiple technical teams. Proven ability to deliver scalable, production-ready solutions in predictive modeling, optimization, or advanced analytics. Hands-on experience with cloud-based analytics platforms (Azure Databricks, Blob, Synapse) and data engineering pipelines. Strong background in machine learning, statistical modeling, operations research, and optimization algorithms. Advanced algorithms and techniques applied in experience include: Mixed-Integer Linear Programming (MILP), Constraint Programming (CP) Traveling Salesman Problem (TSP) / Vehicle Routing Problem (VRP) Regression and Classification models, Gradient Boosting (LightGBM), Logistic Regression SHAP and feature importance for explainability. Excellent communication skills for translating complex models and algorithms into actionable business insights.
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