Senior Data Scientist
About The Position
Trane Technologies’ Connected Solutions Advanced Analytics Team is seeking a Senior Data Scientist to join a small, growing technical team applying innovative analytics to complex Industrial Internet of Things (IIoT) problems. The role focuses on building predictive maintenance and anomaly detection models that support the company’s digital strategy. The successful candidate will work closely with the Data Ops Team to deploy and manage models and implement improvements. This is a high-visibility opportunity within Thermo King, addressing large-scale data problems with the potential to significantly affect business performance. The position offers exposure to complex, real-world business problems and the opportunity to make a tangible contribution.
Requirements
- Master’s degree in Mathematics, Data Science, Computer Science, Engineering, or equivalent experience.
- Demonstrated work or educational history in engineering or an engineering-related discipline.
- Experience working with machine data or time series data.
- Understanding of the full lifecycle of model development and deployment.
- At least 3 years of experience developing inferential and predictive models.
- Proficiency in Python and experience with data science libraries.
- Prior experience writing clean and efficient SQL code.
- Understanding of modeling techniques and their appropriate uses, and ability to apply modeling best practices to high-volume, asynchronous time series data.
- Ability to apply a range of analytic techniques to solve problems and willingness to try new combinations.
- Understanding of engineering data and physics-based models and simulations.
- Experience in statistical inference, unsupervised and supervised machine learning, cross-validation, hyperparameter tuning, and predictive maintenance in real-world applications.
- Ability to manipulate and visualize structured and unstructured datasets.
Nice To Haves
- Experience leveraging cloud infrastructure, preferably AWS, in model development and deployment.
Responsibilities
- Lead the development and implementation of machine learning models for predictive and prescriptive maintenance of components and subsystems, including compressors, heat exchangers, pumps, and fans.
- Own the full data science workflow, including project scoping, exploratory data analysis, model development, hyperparameter tuning, testing, deployment, and monitoring.
- Work with engineers and modelers to 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 team members and colleagues in the domain area.
Benefits
- Health insurance and holistic wellness programs with incentives, effective on day one for the employee and family.
- Fertility coverage and adoption or surrogacy assistance.
- Up to 15 vacation days, paid holidays, sick leave, and additional options for volunteer and parental leave.
- 401(k) matching.
- Educational and training opportunities through company programs.
- Tuition assistance and student debt support.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
