Senior Data Scientist

Trane Technologies is hiring a Senior Data Scientist for the Connected Solutions Advanced Analytics Team in Minneapolis, MN. This onsite role focuses on building predictive maintenance and anomaly detection models for IIoT environments, with end-to-end ownership across the data science lifecycle.

Role Focus

Within the IIoT space, you will develop machine learning models that support predictive and prescriptive maintenance for components and subsystems such as compressors, heat exchangers, pumps, and fans. The work includes model development through deployment and ongoing monitoring, in collaboration with Data Ops and engineering teams.

Responsibilities

• Lead the development and implementation of machine learning models that enable predictive and prescriptive maintenance for equipment components and subsystems (compressors, heat exchangers, pumps, fans, and more)
• Own the full data science workflow, including project scoping, exploratory data analysis, model development, hyperparameter tuning, testing, deployment, and monitoring
• Collaborate with engineers and modelers to improve understanding of predictive and descriptive models
• Engage 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 relevant domain areas

Required Qualifications

• Master’s degree in Mathematics, Data Science, Computer Science, Engineering, or equivalent experience
• Demonstrated work or educational history in an engineering and/or engineering-related discipline
• Experience working with machine data and time series data
• Understanding of the full lifecycle of model development and deployment
• 3+ years of experience developing inferential and predictive models
• Proficiency in Python with experience using data science libraries
• Experience writing clean and efficient SQL code
• Knowledge of modeling techniques and when to apply them, including the ability to use modeling best practices for high-volume, asynchronous time series data
• Ability to apply a catalog of analytic techniques to solve problems, including willingness to try new combinations to achieve strong results
• Understanding of engineering data and physics-based models and simulations
• Experience with statistical inference, unsupervised machine learning, supervised machine learning, cross validation, hyperparameter tuning, and predictive maintenance in real-world applications
• Experience leveraging cloud infrastructure, preferably AWS, for model development and deployment
• Ability to manipulate and visualize structured and unstructured datasets

Technologies

• Python
• SQL
• AWS

Compensation and Work Location

• Location: Minneapolis, MN (onsite)
• Compensation type: Salary
• Annual base salary range: USD 158,238 - 220,955 per yearly
• Incentive eligible: Yes
• Sales commission eligible: No

Schedule

• Monday to Thursday: work onsite with colleagues
• Friday: choose your work location, balancing what the work requires

Safety-Sensitive Role

• Safety sensitive: No
• Safety sensitive roles may require additional drug screening

Education

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

Benefits

• Benefits begin on DAY ONE for you and your family, including health insurance and holistic wellness programs with generous incentives
• Family building benefits: fertility coverage and adoption/surrogacy assistance
• Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave
• 401K match
• Educational and training opportunities through company programs, including tuition assistance and student debt support

Additional Information

THRIVE AT WORK AND AT HOME: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations.