Data Scientist - Engineering (d/f/m)

DE-CELLE-BAKER-HUGHES-STRASSE 1

Baker Hughes

Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.

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Would you like to collaborate with dynamic, cross-functional and international teams?

Would you like to shape our cloud strategy for Data and Analytics?

Join the Data Analytics Team!

As a leader in the oilfield services industry, Baker Hughes offers opportunities for qualified people who want to grow in a high-performance organization. Our leading technologies and our ability to apply them safely and effectively create value for our customers and shareholders.

Partner with the best

As a Data Scientist - Engineering (d/f/m), you will be working in a multi-disciplinary project team in our product development department. You will be responsible for the exploration and utilization of enterprise data in Drilling Services. Therefore, you will be developing our cloud platform further, establish model and application life cycles, and create applications.

As a Data Scientist - Engineering (d/f/m) you will be responsible for:

  • Developing and maintaining a cloud-based Data Analytics platform

  • Unlocking additional data sources, conceptualizing access, and deploying functionality

  • Managing life-cycles of machine-learning models and applications

  • Identifying and promoting opportunities for Data Analytics

  • Defining, developing, and communicating solutions

  • Defining and promoting best practices and internal standards around Data Analytics

Fuel your passion

To be successful in this role you will:

  • Have successfully completed your studies in Engineering, Physics, Computer Science, Mathematics or equivalent in a similar field

  • Have hands-on experience with Cloud DevOps

  • Have hands-on experience with machine learning algorithms and statistics: Regression, classification, clustering, simulation, modelling, etc.

  • Have a deep interdisciplinary technical interest and an understanding of mechatronic systems

  • Have good written and verbal English skills and deep interest in working with other cultures

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. In this role, we can confidently 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 from flexible location – occasionally working remotely from home or any other work location

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 completely authentic selves to work. We invest in the health and well-being of our workforce, train, reward talent, and develop leaders at all levels to bring out the best in each other.

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 challenge with a package that reflects how much we value their input. Join us, and you can expect:

  • Reward for outstanding achievements

  • Contemporary work-life balance policies and wellbeing activities

  • Safety net of insurance for accidents, death and disability

  • Additional voluntary benefits

  • Professional development courses

  • Interesting Employee Stock Purchase Plan

  • Subsidization of a modern canteen

  • Childcare offer for spring, summer and autumn breaks of 1 week each

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Classification Clustering Computer Science Data Analytics DevOps Engineering Machine Learning Mathematics Physics Statistics

Perks/benefits: Career development Flex hours Health care Insurance

Regions: Europe North America
Countries: Germany United States
Job stats:  21  9  0

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