Senior Data Scientist, Full-Stack/Cloud/Software
Listed on 2026-11-01
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Software Development
Full Stack Developer, AI Engineer (Applied/Software)
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 Git Hub 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.
- Experience with AI/ML system implementation.
- Experience with data and knowledge integration.
- Experience building agent-accessible tools and artifacts.
- Experience with Git Hub workflows, CI/CD, Terraform, and automated testing.
- Experience with specifications, constitutions, contracts, and AI harnesses.
- Experience contributing to code quality and integration reviews.
- Experience with production deployment and operational support.
- Technical mentoring or leadership experience.
What success looks like
- You deliver full-stack applications and reusable services for multiple engineering use cases.
- You implement reliable cloud-based components and integrations.
- You contribute to consistent Git Hub integration, automated testing, and code-quality practices.
- You build and operate agent-accessible tools and artifacts.
- You own meaningful technical deliverables from specification through production support.
- Your work demonstrates measurable value for engineering users.
Annual Base Salary Range or Hourly Base Pay Range:
$90,900.00 - $Compensation Type:
SalaryIncentive Eligible:
YesSales Commission Eligible:
NoDisclaimer
:
We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit,…
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