Lead Engineer, Mathematics
Pubblicato il 03-10-2026 - Baker Hughes in Firenze
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.
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, Outsourcing leverage. You will drive the Organization toward a data driven mindset, enabling analysis and decision making through Data analytics. Through statistical approach you will be required to determine key process drivers impacting performances and describing 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 Leader and Outsourcing Quality leader 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 proactive data driven approach throughout the engineering chain enabling decision making and being ambassador of the mindset
- Developing positive relationships and work 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 Resources in the Organization.
Fuel your passion
To be successful in this role you will have
- Master’s degree in Mathematics, Statistics, Finance or Engineering
- Have significant experience