Senior Data Scientist, Full-Stack / Cloud / Software

Trane Technologies

Davidson, North Carolina, United StatesFull-time$90,900–$189,800Posted Oct 30, 2026

About the role

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.

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.

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 GitHub 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 - $189,800.00

Compensation Type:

Salary

Incentive Eligible:

Yes

Sales Commission Eligible:

No

Disclaimer: 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, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive at work and at home:

Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!

Family building benefits include 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 up, educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations

Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Responsibilities

  • Develop full-stack applications and production-grade software components.
  • Implement GCP cloud services, infrastructure, and reusable headless architecture components.
  • Build and integrate AI/ML systems, data, knowledge, tools, and services.
  • Create agent-accessible tools and artifacts.
  • Maintain GitHub workflows, CI/CD pipelines, and automated tests.
  • Prepare and maintain technical specifications, contracts, and AI harnesses.
  • Contribute to integration reviews, code quality, observability, reliability, security, and responsible AI.
  • Deploy and support production services, own technical work, and mentor peers.

Qualifications

  • Bachelor’s degree in computer science, data science, engineering, or a related technical field; a master’s degree is preferred.
  • Two to five years of relevant experience.
  • Experience with full-stack development, cloud platforms, reusable services, and headless architecture.
  • Experience implementing AI/ML systems and integrating data and knowledge.
  • Experience with GitHub workflows, CI/CD, Terraform, automated testing, and production operations.
  • Experience with technical specifications, integration reviews, code quality, and technical mentoring or leadership.

Benefits

  • Health insurance and holistic wellness programs beginning on day one.
  • Fertility coverage and adoption or surrogacy assistance.
  • Up to 15 vacation days, paid holidays, sick leave, and volunteer and parental leave options.
  • 401(k) matching, education and training opportunities, tuition assistance, and student debt support.

Skills mentioned

Frontend DevelopmentBackend DevelopmentGoogle CloudMachine LearningAI AgentsAPI IntegrationGitHub ActionsCI/CDTerraformSoftware Testing

About Trane Technologies

Trane - marchio di Trane Technologies - agisce a livello mondiale come fornitore di soluzioni e servizi nel settore HVAC-R (riscaldamento, ventilazione, aria condizionata, refrigerazione). Offriamo un'ampia gamma di prodotti commerciali e industriali ad alta efficienza energetica, tra cui: refrigeratori, unità polivalenti, pompe di calore, rooftop, sistemi di controllo e regolazione. Per completare la nostra offerta e fornire un servizio completo e professionale, abbiamo creato inoltre una divisione "Service"​, in modo da essere sempre presenti in ogni istante e necessità per quanto concerne la manutenzione e l'assistenza. In aggiunta, nel caso di un'emergenza improvvisa o qualora si necessiti maggiore potenza di raffreddamento o riscaldamento temporaneo, la nostra flotta di NOLEGGIO dispone di oltre 100 unità di ultima generazione, disponibili in breve tempo e con un ottimo rapporto qualità - prezzo. Per informazioni e richieste scrivici a: commercial_italy@trane.com

Industrial Machinery Manufacturing51-200 employeesTrezzano sul Naviglio (MI), Lombardy

H-1B sponsorship history

Historical employer filing data was found for Trane Technologies. The employer record includes 230 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.