Data Scientist Energy Intelligence - limited to 18 months (f/m/d) 1

E.ON Digital Technology GmbH | Fixed Term | Part or Full time

E.ON Digital Technology (EDT) manages and implements with around 1,300 employees the digital transformation of E.ON. EDT is headquartered in Hanover, Germany and is internationally present across all E.ON locations.

E.ON is one of the strongest operators of European energy networks and energy-related infrastructure, as well as a provider of advanced customer solutions for more than 50 million customers. With a total of over 75,000 employees we are represented in 15 countries. By focusing on two sustainable growth areas and with the acquisition of innogy, we are ideally positioned to drive the energy transition in Germany and Europe.

At E.ON diversity matters. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse company culture!

Our Data & Analytics department within E.ON Digital Technology GmbH is looking preferably in Essen or Munich for a full- or part-time Data Scientist (m/f/d) - Energy Intelligence.

Responsibilities:

• You develop data-driven and AI-based solutions that can bring ideas from pilot to commercially viable products

• You distil out of huge sets of structured and unstructured data from internal systems, in combination with external sources, actionable insights

• You perform explorative and ad-hoc data analysis, visualize results in an appealing manner and present the findings in clear statements to business partners

• You implement batch and stream data ingesting methods including cleaning, pre-processing and verification of data integrity, as well as advanced machine learning models training and inference.

• You program significant metrics and indicators with advanced analytical functions and machine learning in Spark, R and Python

• You develop new advanced algorithms for time series predictions, condition monitoring, state change detection and asset optimization

• You support the definition, design and implementations of domain-specific data models to fuel scalable-by-design ML/AI applications

• You support the deployment of productive solutions together with product development, data engineers and data architects

Qualifications:

• Ph.D. or master degree in Computer Science, Mathematics, Physics or related technical discipline

• Several years working experience as a data analyst or data scientist

• Extensive knowledge in statistics, machine learning (including ML model interpretability) and data mining

• Track record of coding in R, Python, Spark and SQL (fluency in oder programming languages is considered as a plus).

• Hands-on experience on machine learning model implementation in Cloud environments (AWS or Azure)

• Familiarity with frequently used machine learning frameworks (example SciKit-Learn stack, TensorFlow or PyTorch)

• Knowledge of source control management systems and CI/CD flows

• Passion for science and problem solving by working on data, paired with a strong motivation to deliver valuable solutions for business needs

• Enjoying collaborating internationally and across cultural borders, willing to undertake international business travel

• Excellent writing and communication skills, considering varying levels of details and matching the audience

• Extensive knowledge of the energy industry and of energy markets is considered as plus

• Experience with Tableau or similar visualization tools is considered as a plus

• Fluent in English and German

Benefits:

• Company pension scheme and company insurance worldwide
• Exclusive employee discounts and subsidized canteen
• Family Service (help with finding kinder garden, elder care, holiday entertainment)
• 38 h working week and 30 leave days
• Home Office Option in consultation with the team
• Parental leave for mothers and fathers is perfectly normal
• Flex time account and 100% paid travel time including business travel (>50km) in first class by train
• Additional benefits for people with a disability
• Very good working atmosphere (informal "du", colloquial atmosphere, very international teams)

Do you have questions?

For further information please contact Dr. Giorgio Cortiana (giorgio.cortiana@eon.com). Are you already convinced that this is the next step in your career? If yes, we would be happy if you would register and apply online as Data Scientist Energy Intelligence - limited to 18 months (f/m/d) (Reference no 160361).

What you need to know:
Contract type: Fixed Term
Working time: Part or Full time
Company: E.ON Digital Technology GmbH
Function area: IT/Digital