Materials Forecasting Specialist

at  Baker Hughes

THE GOOD STUFF

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits

About Us:
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.
Join Us:
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.
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

In this role, you will be responsible for:

• Developing a comprehensive long-term spare part forecast of all components under the assigned product line.
• Developing strategic stock with reorder point inventory management strategy.
• Determining and applying appropriate optimization methodologies to balance the trade off between service level and inventory.
• Applying predictive analytics, machine learning, simulation, and optimization techniques to generate forecast for supply chain and customer strategy development.
• Developing process that meets business needs across the organization, manage complex issues within functional areas of expertise, contribute to the overall business strategy

To be successful in this role you will:

• Hold a Bachelor’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, Engineering or related field or proven experience beyond the minimum required may be substituted in lieu of a degree.
• Show experience and accountability for complex tasks and/or projects.
• Display experience/knowledge in Supply Chain, Production Planning or Demand Planning
• Show experience with Time Series/Forecasting Modeling.
• Have strong coding skills in the dominant scripting language (such as Python).
• Be proficient knowledge with applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).
• Be fluent both in Italian and English (oral and written)
• Hold a EU work permi