Sr. Data Scientist

At Trane Technologies®we Challenge Possible. Our brands – including Trane® and Thermo King® - create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what’s possible for a sustainable world.

Job Summary：The Sr 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 Dev 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.

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

Qualifications:

• 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
• 3+ years of experience developing inferential and predictive models
• Proficient in Python with experience with data science and machine learning libraries
• Prior experience writing clean and efficient SQL code
• Experience working with machine data / time series data
• Understanding of the full life cycle of model development and deployment

Pluses

• Experience leveraging cloud infrastructure, preferably AWS, in the model development and deployment process
• Proficiency in packaging code into Docker Containers
• Experience with Tableau

Key Competencies:

• Strong understanding of statistics, supervised and unsupervised machine learning 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
• Ability to manipulate and visualize both structured and unstructured dataset

We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture which is inclusive and respectful at its core. We share passion for serving customers, caring for others, and boldly challenging what’s possible for a sustainable world.

We are committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

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