Jobs Companies Baker Hughes Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D)

Sobre este puesto de Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation (M/F/D) en Baker Hughes

Baker Hughes · Presencial · IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2

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, who delivers across the energy value chain through our market-leading business segments. 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.

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.

In this role you will be responsible for:

  • 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 in Data Management and Proven analytical and organizational ability

  • Exceptional ability to interact with global, multicultural teams and foster collaboration in matrix organizations.

  • Ability to coordinate several projects simultaneously.

  • Effective problem identification and solution skills.

  • Experience working with internal stakeholders.

  • Strong oral and written communication skills for reporting, stakeholder engagement, and team coordination.

Desired Characteristics

  • Experience in Operations or Finance

  • Excellent communication, presentation and facilitation skills

  • Green or Black Belt certified

  • Ability to influence others and Lead initiatives of moderate scope and impact

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive


Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
 

Working for you

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

The initial pay range for this position will be EUR 43,600 To 70,000.

The provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position. Section VI – Titolo IV of that collective bargaining agreement relates to pay.

The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation
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Cómo se compara este salario de Tech Lead

Este puesto paga $65,093/yrpor debajo de el rango típico para los puestos de Tech Lead.

$100,671 la mediana de $163,500 $235,470

Rango típico $131,200–$199,995/yr, a partir de 2,458 ofertas comparables de Tech Lead en JobsRadar (salario anualizado en USD). Ver datos salariales de Tech Lead →

Sobre Baker Hughes

At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. We believe in creating an environment of diversity and inclusion, without bias. We know we are bett

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