Lead engineer, mathematics
Pubblicato il 25-08-2026 - Baker Hughes Gruppe in Firenze
Join our successful team Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. Baker Hughes is the leading energy technology company, delivering across the energy value chain in over 120 countries with innovative technologies that make energy safer, cleaner and more efficient. Partner with the best As Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation, you will work in supporting Engineering and Technology teams toward operational excellence, focusing on Demand vs Capacity Analysis, costs and engineering rate control, and outsourcing leverage. You will drive the organization toward a data‐driven mindset, enabling analysis and decision making through data analytics. Through a statistical approach you will determine key process drivers impacting performance and describe future scenarios.
Responsibilities Driving Engineering Teams Demand vs Capacity Analysis Analyzing demand evolution over quarters to understand trends and variances versus actuals Driving Engineering Teams to accurate and timely vouchering allocation Working with outsourcing leaders and quality leaders to build the appropriate supply base Supporting the team in milestones and earned value management implementation and adoption Supporting functional costs analysis to understand cost drivers and drive cost‐reduction actions Applying data analytics to engineering processes Driving a proactive data‐driven approach throughout the engineering chain, enabling decision making and acting as an ambassador of the mindset Developing positive relationships and working closely with IET Engineering Leaders and Operations to enable decision making and share best practices Communicating results to various audiences from key executives to operative re