Predictive Maintenance Data Scientist

What role you will play in team: You will be part of a team developing machine learning models for predictive maintenance of our infrastructure.

What you will do: You will use various data sources (sensor data, maintenance logs, etc.) to predict equipment failures and optimize maintenance schedules.

Key responsibility:

• Develop and deploy machine learning models for predictive maintenance.
• Collect and preprocess data from various sources.
• Build data pipelines for efficient data ingestion and processing.
• Evaluate model performance and make recommendations for improvements.
• Collaborate with engineering and operations teams to implement maintenance strategies.

Required Qualification and Skills:

• Master's degree in a quantitative field (e.g., statistics, computer science, engineering).
• 1-2 years of experience in predictive maintenance or a related field.
• Proficiency in Python and relevant machine learning libraries.
• Experience with time-series analysis.
• Strong problem-solving and analytical skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth within a large infrastructure company.
• Chance to make a significant impact on operations.
• Flexible work arrangements.

A Day in the Life: You will spend your day working on machine learning models, data analysis, and collaboration with engineering and operations teams.