D&I Data Scientist
Core
Conduct undirected research and solve open-ended data problems by inventing new algorithms for machinery diagnostics, prognostics, and optimization of complex systems.
Role type
Senior IC machine-learning engineer (industrial diagnostics)
Builds
Data-driven algorithms for anomaly detection, failure prediction, and system optimization
Domain
Industrial machinery diagnostics and prognostics
Deliverable
production ML models
Required skills
machine learning algorithms, statistical analysis, time-series forecasting, Bayesian techniques, deep learning, neural networks, explainable AI, Python, ML Ops, software engineering, GenAI/LLMs
Preferred skills
population-based meta-heuristic optimization, NLP-GenAI, large multivariate data processing
Technologies
NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch
Responsibilities
Research and assess next-generation technologies for machinery diagnostics; Generate innovative ideas and execute technical projects; Process large multivariate data sets from equipment operations; Apply engineering knowledge to develop algorithms for failure prediction; Collaborate with engineers to identify key health monitoring parameters.
Seniority
Senior, hands-on IC
