Description

Develop and deliver analytics models for equipment condition monitoring, focusing on failure prediction, remaining life estimation, and component risk.

Responsibilities

• Collect and negotiate requirements for condition monitoring models.
• Access, cleanse, and preprocess time-series sensor data, telematics, and service records to build ground truth datasets.
• Develop, backtest, and validate machine learning and deep learning models in Python across on-prem and AWS environments.
• Explain and defend modeling decisions and performance metrics to stakeholders.
• Support models in production and resolve incident tickets within a Scrum/Agile environment.

Required Skills

• 7+ years of experience in data science or related analytical roles.
• Proficiency in Python for model development and validation.
• Experience with machine learning, deep learning, and statistical modeling.
• Strong SQL skills for data access and manipulation.
• Experience working with Big Data and time-series machine sensor data.
• Practical knowledge of GIT for version control.
• Experience working within Agile Methodology.
• Bachelor’s Degree in a relevant field.

Key Skills

Education

Bachelor’s Degree