(Senior) Data scientist - Energy storage system (m/f/d)

Location

Nürnberg | Germany

Job description

Huawei’s Nuremberg Research Center is responsible for Network Energy Advanced Technology Research, Architecture Evolution Design and Strategic Technology Planning.

The Power Conversion Technology Laboratory within the Huawei’s Nuremberg Research Center is responsible for Advanced Digital Power Technology Research, Architecture Evolution Design and Strategic Technology Planning, and plays an important role in the Huawei Digital Power business in the design and development of power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data Centers, Electric Vehicle, and Embedded Power Supply.

Join us as a

Data scientist - Energy storage system (m/f/d)

Your mission

• Data Analysis: Collect, process, and perform advanced statistical analysis on large datasets from energy storage systems to identify trends, patterns, and insights.
• Algorithm Development: Develop and implement sophisticated machine learning algorithms to forecast energy demands, optimize charging/discharging cycles, and enhance overall system efficiency.
• Predictive Modeling: Create predictive models for component lifespan, maintenance needs, and failure prediction to minimize downtime and maximize the longevity of energy storage components.
• Performance Monitoring: Monitor system performance and provide actionable recommendations for optimizations, based on data-driven insights.

Your areas of expertise

• Master's degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
• Proven experience in a data science role 
• Experience in energy systems is highly advantageous
• Proven experience working with large datasets and familiar with data mining, cleaning, and munging techniques
• High proficiency in programming languages such as Python, R, or Scala;
• Proven experience in Machine Learning Tools such as Scikit-Learn, TensorFlow/PyTorch, Pandas
• Strong understanding of database and data warehousing (SQL and NoSQL), and big data technologies (e.g., Hadoop, Spark)
• Fluent in written and spoken English (working language)

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

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