Senior Data Scientist, Full-Stack / Cloud / Software

Trane Technologies · Davidson, NC
Work typeOn-site
Pay$90.9k – $189.8k
PostedNov 13, 2026
LevelSenior
In short Be a part of our mission!
GCP

📋 About the job

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane® and Thermo King , sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. As a Senior Data Scientist focused on full-stack development, cloud architecture, and software engineering, you will build and operate the applications, reusable services, cloud components, and AI-enabled integrations that support engineering use cases. You will own well-scoped technical work from specification through production support and contribute to the team’s shared practices for integration, testing, code quality, and reliable delivery. What you will do Develop full-stack applications and production grade software components. Implement GCP cloud services and infrastructure. Build reusable services and headless architecture components. Implement AI/ML systems and integrations. Connect data, knowledge, tools, and services across engineering workflows. Build agent-accessible tools and artifacts. Create and maintain GitHub workflows, CI/CD pipelines, and automated tests. Prepare and maintain requirements, specifications, constitutions, contracts, context, and AI harnesses. Review integration plans and contribute to code-quality practices. Deploy and support production services. Contribute to observability, reliability, security, privacy, and responsible AI implementation. Own well-scoped technical work independently. Mentor peers and contribute to technical leadership. Required qualifications Bachelor’s degree in computer science, data science, engineering, or related technical field. Masters preferred. Two to five years of relevant experience is acceptable. Experience with full-stack application development. Experience with GCP or comparable cloud platforms. Experience with reusable services and headless architecture. E…

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Senior Data Scientist, Full-Stack / Cloud / Soft...Trane Technologies
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