Software

Trane Technologies•Davidson, NC

3d•Hybrid

About The Position

As a Senior Data Scientist focused on full-stack development, cloud architecture, and software engineering, you will build and operate 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 shared team practices for integration, testing, code quality, and reliable delivery. The role works onsite Monday through Thursday with colleagues; on Fridays, you may choose your work location, balancing it with work requirements. Success involves delivering full-stack applications and reusable services for engineering use cases, implementing reliable cloud components and integrations, building and operating agent-accessible tools, and demonstrating measurable value for engineering users.

Requirements

Bachelor’s degree in computer science, data science, engineering, or a related technical field.
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.

Nice To Haves

Master’s degree preferred.

Responsibilities

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.

Benefits

Health insurance and holistic wellness programs with incentives, available from day one for the employee and family.
Fertility coverage and adoption/surrogacy assistance.
Up to 15 vacation days, paid holidays, sick leave, and additional options supporting volunteer and parental leave.
401(k) match.
Educational and training opportunities through company programs.
Tuition assistance and student debt support.

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