Predictive Maintenance Data Scientist

What role you will play in team: You will be responsible for developing and implementing machine learning models to predict equipment failures, optimizing maintenance schedules.

What you will do: You will work with sensor data from industrial equipment to build predictive models, reducing downtime and improving efficiency.

Key responsibility:

• Collect and process sensor data from industrial equipment.
• Develop and implement machine learning models for predicting equipment failures.
• Evaluate model performance and identify areas for improvement.
• Collaborate with engineers to integrate models into maintenance systems.
• Communicate findings and recommendations to stakeholders.

Required Qualification and Skills:

• Master's degree in computer science, data science, or a related field.
• Strong programming skills in Python.
• Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
• Understanding of time series analysis and predictive modeling techniques.
• Experience working with industrial sensor data.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development.
• Work on impactful projects.
• Collaborative work environment.
• Chance to work with cutting-edge technologies.

A Day in the Life:A day involves working with sensor data, developing and testing predictive models, and collaborating with engineering teams to implement solutions.