Predictive Maintenance Data Scientist

What role you will play in team: Contribute to a team developing predictive maintenance models to reduce downtime and optimize maintenance schedules for industrial equipment.

What you will do: Develop and implement machine learning models for predicting equipment failures, optimizing maintenance schedules, and minimizing downtime.

Key responsibility:

• Develop and deploy machine learning models for predictive maintenance.
• Work with sensor data from industrial equipment.
• Develop and implement data pipelines for processing sensor data.
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  Collaborate with engineers and other stakeholders.
• Present findings and recommendations to management.

Required Qualification and Skills:

• Master's degree in data science, computer science, or a related field.
• Experience with machine learning algorithms and techniques.
• Experience with time series analysis.
• Proficiency in Python and relevant machine learning libraries.
• Strong understanding of industrial equipment and maintenance processes.

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Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Work in a challenging and innovative environment.
• Hybrid Work Model

A Day in the Life: A day involves working with sensor data to train machine learning models for predictive maintenance, evaluating the performance of the models, and collaborating with engineers to implement the models in the field.