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Senior Data Scientist, Full-Stack / Cloud / Software

Trane Technologies

Davidson, NC · HybridFull-time$91–190K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$91–190K/yr
Location
Davidson, NCHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Senior Data Scientist will build and operate applications, reusable services, cloud components, and AI-enabled integrations for engineering use cases. The role owns well-scoped technical work from specification through production support and contributes to integration, testing, code quality, and reliable delivery practices. Work is onsite Monday through Thursday, with employees choosing their work location on Fridays based on work needs.

Skills & qualifications

RequiredNice to have

Skills

Full-Stack DevelopmentGCPCloud PlatformsReusable ServicesHeadless ArchitectureAI/ML ImplementationData IntegrationKnowledge IntegrationAgent-Accessible ToolsGitHub WorkflowsCI/CDTerraformAutomated TestingSpecificationsAI HarnessesCode QualityIntegration ReviewsProduction DeploymentOperational SupportTechnical MentoringTechnical Leadership

Qualifications

Bachelor's in CS, Data Science, Engineering or Related FieldMaster's Degree2+ Years Relevant Experience

Benefits

Medical Insurance
Paid Time Off
Parental Leave
401(k) Match
Tuition Assistance

Full job description

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 (https://www.tranetechnologies.com/) , and through our businesses including Trane® (http://www.trane.com/index.html) and Thermo King (http://www.thermoking.com/na/en.html) , 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 (http://careers.tranetechnologies.com/global/en/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.

How this job compares

Set against the 2,109 open Data Science jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This posting$91–190K/yr
  • North Carolina median$124–212K/yr43 salary ranges
  • US median$134–236K/yr1,547 salary ranges

This range's midpoint, $140K, is 25% below the North Carolina median midpoint ($188K) — in the middle half of Data Science salary ranges in North Carolina.

Openings
Olive Jobs lists 57 open Data Science jobs in North Carolina and 2,109 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in North Carolina
Experience
This posting asks for at least 2 years of experience — less than three in four Data Science postings that state a minimum ask for (median 6 years, across 1,724 postings).
Education
This posting asks for a bachelor's degree; 1,006 of the 2,109 open Data Science jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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