Your tasks
- Investigate whether anomaly detection algorithms can be used to detect the degradation and drift of thermal energy meters
- Analyze the huge dataset provided by Belimo sensors measuring thermal energy flows
- Identify patterns of potential anomalies through timeseries analysis
- Explore the applicability of Anomaly Detection Algorithms to the dataset at hand
- Adapt and apply these algorithms in a Big Data setup
Your profile
- Data Science or equivalent background
- Ability to analyze Datasets through statistical means
- General knowledge of Machine Learning Techniques and Libraries
- First knowledge in Big Data tools such as Apache Spark, Apache Kafka, Trino or similar
- Knowledge of a general purpose programming language such as Python or Scala
Our offer
- The opportunity to work in an innovative environment with the latest technologies
- An open and trusting corporate culture in which everyone, from interns to the CEO, is treated as equals with respect and appreciation