Senior Data Scientist: IIoT Predictive Maintenance

Trane Technologies plc; Minneapolis (MN); Hybrid; USD 158,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401K match

Paid time off

Tuition assistance and student debt 지원

Job summary

Trane Technologies is seeking a Senior Data Scientist for its Connected Solutions Advanced Analytics Team in the IIoT space. You will build predictive maintenance and anomaly detection models, work with the Data Ops team to deploy and manage models, and drive data-driven improvements across products.

The role requires a Master’s in a quantitative field, 3+ years of modeling experience, and strong Python and SQL skills.

Qualifications

• Master’s Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent experience.
• 3+ years of experience developing inferential and predictive models.
• Proficient in Python with experience with data science libraries.
• Prior experience writing clean and efficient SQL code.

Responsibilities

• Lead the development and implementation of state of the art machine learning models to enable predictive and prescriptive maintenance of components and subsystems (compressors, heat exchangers, pumps, fans, etc)
• Take ownership for the entire data science workflow including project scoping, exploratory data analysis, model development, hyperparameter tuning, testing, deployment and monitoring
• Interface with engineers and modelers to create and improve understanding of predictive and descriptive models
• Network across the organization to identify and communicate opportunities to apply data science and machine learning to product design and processes
• Mentor and guide other team members and colleagues in the domain area

Skills

Python

Time series data

Machine learning

SQL

Education

Master’s Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent

Tools

AWS

Job description

Trane Technologies is seeking a Senior Data Scientist for its Connected Solutions Advanced Analytics Team in the IIoT space. You will build predictive maintenance and anomaly detection models, work with the Data Ops team to deploy and manage models, and drive data-driven improvements across products.

The role requires a Master’s in a quantitative field, 3+ years of modeling experience, and strong Python and SQL skills.