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Senior Data Scientist

Trane Technologies

La Crosse, WI · HybridFull-time$149–190K/yrSeen 3w agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$149–190K/yr
Location
La Crosse, WIHybrid
Schedule
Full-time
Work Authorization
Not specified

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

Job overview

Trane Technologies seeks a Senior Data Scientist to build LLM-powered agents and workflows for building energy modeling and HVAC simulation. The role involves preparing and executing projects, developing data pipelines and validation tools, and communicating results through reports and visualizations. The candidate works independently while collaborating with cross-functional teams, reviewing work, and communicating with clients and peers. The position requires 10–20% travel.

Skills & qualifications

RequiredNice to have

Skills

StatisticsMachine LearningTime Series ModelingPythonSQLGenerative AIAPI IntegrationPyMongoNoSQL DatabasesAzureGCPDockerReactNext.jsFlaskRapid Application DevelopmentGitHubETLData PreprocessingVerification and ValidationProblem SolvingCommunicationReport WritingData Visualization

Qualifications

PhD or Master's in Data Science, Computer Science, Statistics, Mechanical Engineering or Related Field3+ Years Mechanical Industry 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.

What's in it for you:

Be a part of our mission!   As a world leader in creating comfortable, sustainable, and efficient environments, it’s our responsibility to put the planet first. For us at Trane Technologies, 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.

We are seeking a highly resourceful Senior Data Scientist to join our dynamic team. The ideal candidate will have a knack for identifying opportunities within systems and processes, leveraging existing and emerging technologies, and working effectively even with limited data availability. You will work independently with minimal supervision but be part of a larger team, collaborating and submitting work for review, while also reviewing the work of others. This role requires a proactive approach to project identification, workflow preparation, and execution. Additionally, the candidate must excel at effectively communicating with clients and peers to drive project success and advancement.

What you will do:

  • Design, build, and deploy autonomous LLM-powered agents and connectors that interface with building energy modeling (BEM) and HVAC simulation tools.

  • Translate complex multi-step simulation tasks (geometry intake, thermal load calculations, equipment sizing, schedule definitions, and parametric runs) into executable agentic workflows and tool-calling routines.

  • Prepare detailed project workflows and execute them efficiently.·

  • Collaborate with cross-functional teams, submit work for review, and provide constructive feedback on others' work.

  • Generate ETL pipelines, preprocess datasets, and develop verification and validation tools.

  • Work with datasets from multiple sources and formats.

  • Prepare comprehensive reports and visualizations to communicate project scopes and progress.

  • Prepare detailed documentation for applications.

  • Utilize generative AI models and manipulate them through API calls in code.

  • Requires 10-20% Travel

What you will bring:

  • PhD or Master’s degree in Data Science, Computer Science, Statistics, Mechanical Engineering or a related field.

  • 3-5 years of experience in mechanical industry preferred.

  • Expertise in statistics, supervised and unsupervised machine learning techniques and their appropriate uses; ability to apply common modeling best practices to build models using high-volume, asynchronous time series data.

  • Proficiency in Python and SQL.

  • Experience with generative AI models and API manipulation

  • Experience with Pymongo and NoSQL databases.

  • Strong background in working with Azure (or) GCP.

  • Familiarity with Docker containers, React, Next.js, and Flask.

  • Experience in rapid application development and deployment through GitHub.

  • Strong understanding of ETL processes and data preprocessing.

  • Ability to develop verification and validation tools.

  • Excellent problem-solving skills and the ability to translate complex requirements into actionable tasks.

  • Strong communication skills, with the ability to prepare reports and visualizations.

Annual Base Salary Range or Hourly Base Pay Range:

$148,991.66 - $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 4,850 open Data Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$149–190K/yr
  • Wisconsin median$125–215K/yr37 salary ranges
  • US median$135–213K/yr3,794 salary ranges

This range's midpoint, $169K, is close to the Wisconsin median midpoint ($170K) — in the middle half of Data Scientist salary ranges in Wisconsin.

Openings
Olive Jobs lists 57 open Data Scientist jobs in Wisconsin and 4,850 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Wisconsin
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,169 postings).
Education
2,397 of the 4,850 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 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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