About the Client
Our client is a global powerhouse in electronics and electrical engineering, successfully operating in the industry, energy and healthcare sectors.
About the Role
For our client we are looking for an enthusiastic and innovative Data Scientist who is eager to play with buildings data from all over the world and to be part of the implementation of functionalities that provide actionable insights to our customers. Your playground will consist of large data sets, latest software technologies and impactful global software offerings, and you will work with a passionate team of data scientists, engineers, architects and product managers to build tomorrow’s data-driven products.
Develop tomorrow’s data-driven products for buildings, incl. predictive maintenance, prescriptive simulations, anomaly detection, system optimization and forecasts.
Evaluate and implement advanced data analytics techniques in joint collaboration with the global Data Science team, Software Architects/Engineers and Product Managers.
Collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings.
Develop, validate and maintain advanced data science products.
Analyze large volumes of data covering a wide range of information from building operational data to equipment and user behaviour data in order to identify new patterns through data mining and AI.
Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models.
Contribute to managing the data science infrastructure and processes.
Communicate complex concepts and the results in a clear and effective manner.
At least two years of work experience in the analytics field (including data science, business intelligence, etc.).
Strong data fundamentals and demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems.
Seasoned machine learning and data mining enthusiast, proficient in algorithms development and able to work with large code bases.
Knowledge of and practical application of advanced statistical analyses and modelling (e.g., predictive or neural network modelling, classification, etc.).
Understanding of agile software development methodologies.
Nice to Have Skills
R skills are plus.