Lead Data Scientist
Core
Lead data science partner to Sensata's commercial organization (Marketing, Sales, Revenue Ops, Finance) building ML, forecasting, and optimization models for pricing, selling, prioritization, and performance forecasting.
Role type
Senior IC lead data scientist (commercial focus)
Builds
Production ML models, forecasting systems, and optimization tools for commercial lifecycle decisions
Domain
B2B Manufacturing / Commercial Analytics
Deliverable
production ML models
Required skills
Python, SQL, classification and propensity modeling, time-series forecasting, regression and causal analysis, applied optimization (linear/mixed-integer programming), CRM/ERP data integration, model validation and monitoring
Preferred skills
Advanced degree in Data Science/Statistics/Econometrics, Azure ML/Databricks experience, experience with sales/marketing/pricing teams
Technologies
Python, SQL, Azure ML, Databricks, Salesforce, ERP systems
Responsibilities
Build and deploy models for lead scoring, customer propensity, churn, next-best-offer, and segmentation; Develop pricing analytics and decision models (elasticity, margin optimization); Build forecasting models for revenue, bookings, and pipeline; Apply optimization methods for scheduling and resource allocation; Translate business questions into data science problems and explain results to executives; Set standards for model validation, testing, and retraining; Partner with AI Engineers to embed models in business workflows; Evaluate third-party AI solutions
Seniority
Senior, hands-on IC with team leadership
