The Sr Data Scientist will help build the next generation of Asset Performance Monitoring AI, leveraging skills and passion for machine learning, AI, and cognitive computing.
Requirements
- MS in Science or Engineering, PhD preferred, with a strong quantitative focus
- 5+ years of experience in data analysis and software development/programming
- Experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing)
- Experience in Python programming, including data science specific packages (Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn)
- Experience in C++ or C#
- Experience with LLM, generative AI, and agentic AI workflow
- Track record of academic publications related to data science, AI, and/or process optimization
- Problem-solving ability and attention to details
- Excellent interpersonal, communication, writing, and presentation skills
Benefits
- Paid time off
- Charitable giveback day
- Medical/dental/vision insurance
- Retirement benefits