Senior Data Scientist (f/m/div.)
Core
Organizing and interpreting data to inform decision-makers and developing predictive maintenance models using statistical analysis and machine learning.
Role type
Senior IC data scientist (predictive maintenance)
Builds
Predictive maintenance models and data pipelines for building technologies
Domain
Industrial IoT / Building Technologies / Predictive Maintenance
Deliverable
production ML models
Required skills
Machine learning model development, evaluation, and optimization; Data preprocessing, feature engineering, and feature selection; Exploratory data analysis; CI/CD pipelines and software development practices; Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch); SQL; No-relational databases (MongoDB); Microsoft Azure cloud platform; MLOps; Linux OS; Docker
Preferred skills
Anomaly detection; Predictive maintenance use cases
Technologies
Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, SQL, MongoDB, Microsoft Azure, Linux, Docker
Responsibilities
Conduct in-depth data analysis, including data mining and predictive modelling; Design, implement, train, evaluate and optimize machine learning models for predictive maintenance; Support the deployment of ML models into production; Build solutions to monitor performance of data pipelines; Collaborate with cross-functional teams to understand business requirements; Ensure ethical practices in algorithm design and data utilization
Seniority
Senior, hands-on IC