Data Scientist 3

Description:

• Data Scientist role to develop and deliver analytics models for the client’s equipment condition monitoring for the enterprise, and for aftermarket solutions for customers and dealers.
• Condition monitoring models include failure prediction, remaining life estimation, service interval extension, and component risk models.
• Methods include machine learning, deep learning, statistical and rule-based models, and other data analytics techniques to generate actionable insights from time-series machine sensor data, other telematics data, fluids analysis, and machine inspection and service records.

Typical Day:

• Collect and negotiate requirements for condition monitoring models.
• Access, analyze, cleanse, preprocess data; cultivate ground truth data sets as needed.
• Explore and downselect modeling approaches.
• Develop, backtest and validate models in python, in both on-prem and AWS environments.
• Compute model performance metrics.
• Participate in daily standups and sprint reveals in Scrum/Agile environment.
• Explain and defend modeling decisions and performance results.
• Support model in production, resolve incident tickets