Informacje o stanowisku

Viessmann is a leader of technological progress in the heating industry, with its Wrocław based R&D Center developing the company’s products in the field of software and electronics. We use only state-of-the-art technology and equipment to translate the results of our work into innovative solutions to be applied in the near and more distant future.

The Data Team at Viessmann works on building and deploying novel analytical algorithms based on the data from our IoT products. The person in this position will work on the full stack; from data pipelines and processing to creating user facing applications. The team is a Wrocław & Allendorf based unit of Viessmann.

Your responsibilities:

• Apply your expertise in data mining, prediction and statistical analysis to see beyond the numbers.
• Understand how our products work and our customers use them.
• Collaborate with our R&D-Team on leveraging our existing IoT-machines in the field for product optimization, application development and predictive maintenance.
• Use your machine learning knowledge to build up models and apply them to empower advanced data analysis and predictive maintenance.
• Create prototypical data pipelines to evaluate your insights on a larger scale.
• Cooperate on the productive implementation of your prototypes with our Data Engineers using the Microsoft Azure Stack (e.g. Databricks, Event Hub, ADFS, Data Factory).

Requirements:

What we expect:

• University degree in mathematics, statistics, computer science, physics, biology or a comparable quantitative field.
• Understanding of statistics (e.g. hypothesis testing, regressions) and machine learning techniques.
• Experience in data analysis including data cleaning, visualization and presenting the results to Non-Statisticians.
• Good programming skills in Python, some experience with version control systems (git).
• Very good knowledge of relevant data science libraries (Pandas, NumPy, Scikit-Learn, Streamlit…).
• Knowledge of SQL/RDBMS.
• Experience with distributed computing and cloud technologies (e.g. Microsoft Azure, Google Cloud, AWS) is a plus.
• Experience with agile software development is a plus.
• English is a must, German is a plus.

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