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# Senior Data Scientist

- **Company:** Trane Technologies
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $158,238.0 - $220,955.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Standard Sql, Information Technology
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3c019cc336319887

## About the Role

+ Master's Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent experience
 + Demonstrated work or educational history in engineering and/or engineering related discipline
 + Experience working with machine data / time series data
 + Understanding of the full life cycle of model development and deployment
 + 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
 * Key Competencies
 + Understanding of modeling techniques and their appropriate uses; ability to apply common modeling best practices to build models using high-volume, asynchronous time series data
 + Ability to apply a catalog of potential analytic techniques to solve a problem and the willingness to try new combinations in a quest for the best solution
 + Understanding of engineering data and physics-based models and simulations
 + Experience in statistical inference, unsupervised machine learning, supervised machine learning, cross validation, hyperparameter turning, and predictive maintenance in real world applications.
 + Experience leveraging cloud infrastructure, preferably AWS, in the model development and deployment process
 + Ability to manipulate and visualize both structured and unstructured dataset

## Description

The Senior Data Scientist will be responsible for building predictive maintenance and anomaly detection models in support of our mission-critical digital strategy initiatives. This role will work closely with the Data Ops Team to deploy and manage the models as well as implement model improvements.

This is a high visibility group within Thermo King that is tackling big data problems that have the potential to significantly impact the business performance of the company. This "ground floor" opportunity will give the successful candidate exposure to complex, real-world business problems and the opportunity to make a tangible difference.

What you will do:

 * 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