Summary Sheet: I.T. & Communications |
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| Advertiser Name | E.ON Group Innovation GmbH | | Advertiser Type: | Company |
| Classification: | I.T. & Communications | | Subclassification: | |
| Country: | Germany | | Location: | Germany |
| Language: | English - United Kingdom (en-GB) | | Contact Name: | |
| Employment Type: | Permanent | | Workhours: | Not Specified |
Position: Senior Data Scientist (f/m/d) |
Description:
E.ON is one of Europe's largest operators of energy networks and infrastructure and a provider of innovative energy solutions. Our employees are constantly working to digitise the energy world, achieve net zero and connect everyone to good energy. To achieve this, we are focusing our actions on sustainability, digitalisation and growth. We strongly believe that differences make us stronger and welcome all people into our inclusive and diverse culture.
We are looking for a Senior Data Scientist (f/m/d) to join our E.ON Group Innovation GmbH team as soon as possible. If you are interested, please apply directly online!
A job that inspires you
Lead the technical implementation of sensor and IoT projects, from concept to production-ready deployment in the energy industry, ensuring robust and high-quality solutions
Evaluate and implement cutting-edge ML/AI models in academic papers for energy applications, and communicate findings to shape project strategies
Oversee the development, implementation, and deployment of state-of-the-art ML/AI models and technologies in digital pipelines together with IoT, Data, and ML Engineers
Guide and mentor junior data scientists and collaboration partners, adding to and embracing FutureLab's environment of continuous learning and improvement
Drive the venturing of innovative R&D projects, from elaboration of technical ideas and concepts, through development of integrated hardware- and software prototypes and business development
Work collaboratively within cross-functional teams and across partner organisations
Communicate effectively technical requirements and business interdependencies to ensure alignment of project and engineering goals
Stay ahead of emerging technologies, state-of-the-art components, and best practices in the areas of robotics, industrial IoT, and AI in the energy industry
A background that convinces us
University degree (Master or PhD) in Computer Science, Statistics, Engineering or related fields
Over 6 years of professional experience in applied data science or Machine Learning, ideally in an industrial or energy setting
Profound knowledge in digital signal processing and insights into retrieving vital information from transmitted and received electromagnetic signals
Strong software development skills with expertise in Python and MATLAB, along with hands-on experience using data science tools and libraries (e.g. NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), and Jupyter Notebooks)
Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization
Extensive hands-on experience in developing, deploying and monitoring Machine Learning models
Experience in working in the cloud, ideally Azure, with an emphasis on data and Machine Learning tools
In-depth knowledge about the energy industry, its mechanisms, and challenges (professional experience in the energy industry is a plus)
An experimental and entrepreneurial mindset and a desire to build things from scratch or optimize ones that already exist
Outstanding communication skills with the ability to communicate complex technical ideas, regardless of the technical capacity of the audience
Passion for technology and the inner desire to solve problems and move things forward
Fluent in spoken and written English; German is a plus
Skills to Set You Apart
IoT expertise: experience working with IoT or sensor data
Solid understanding of chemometric techniques such as multivariate analysis (e.g. PCA, PLS), spectral preprocessing, and calibration model development
Experience in time-series analysis, anomaly detection, or predictive maintenance using remote sensing data
Experience in chemical engineering or understanding the chemical composition of different liquid insulators is a plus
An environment that motivates you
A role full of challenges, where we will collaboratively design a successful onboarding process
A respectful work atmosphere where mutual trust and respect play a crucial role in teamwork
A modern work environment that ensures a balanced work-life balance through flexible working hours and the option for home office
A diverse range of personal and professional training and development opportunities
A strong network, as we prioritize collegial exchange across business units, offering various perspectives
A secure provision with attractive compensation and additional benefits, such as in-house sports offerings
40 hours work week and 30 vacation days
100% paid travel time, including business trips (>50km), in first-class train travel
Inklusion
Uns ist wichtig, Menschen mit Behinderung ein faires Bewerbungsverfahren zu erm glichen, in dem sie ihr Bestes zeigen k nnen. Daher wird unsere Schwerbehindertenvertretung fr hzeitig in das Verfahren einbezogen. Bitte teile uns ber das Bewerbungsformular mit, ob du technische oder organisatorische Anpassungen f r das Bewerbungsverfahren ben tigst. Wir stellen diese gern zur Verf gung.
Wenn es dir nicht m glich ist, dich online zu bewerben und du stattdessen mit jemandem sprechen m chtest, kontaktiere bitte deinen lokalen Recruiter.
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