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# Senior Data Scientist, Full-Stack / Cloud / Software

- **Company:** Trane Technologies
- **Location:** Davidson, NC, United States
- **Experience:** Expert
- **Salary:** $90,900.0 - $189,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Cloud Computing, Cloud Engineering, Software Quality, Continuous Integration, Github, Cloud Services, Software Deployment, Software Engineering, Information Technology, Machine Learning Operations, Terraform
- **Published:** October 29, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3485686049&tx=FK2926FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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 GitHub 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.

## Description

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.