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.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 - $189,800.00Compensation Type:
SalaryIncentive Eligible:
YesSales Commission Eligible:
NoDisclaimer: 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:
NoThe 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.
Skills Required
- PhD or Master's degree in Data Science, Computer Science, Statistics, Mechanical Engineering, or a related field
- 3-5 years of experience in the mechanical industry
- Expertise in statistics and supervised and unsupervised machine learning techniques
- Experience building 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 working with Azure or GCP
- Familiarity with Docker containers, React, Next.js, and Flask
- Experience with rapid application development and deployment through GitHub
- Strong understanding of ETL processes and data preprocessing
- Ability to develop verification and validation tools
- Strong problem-solving skills and ability to translate complex requirements into actionable tasks
- Strong communication skills, including preparing reports and visualizations
Trane Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trane Technologies and has not been reviewed or approved by Trane Technologies.
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Retirement Support — Retirement programs are highlighted by a strong 401(k) with company matching and additional employer contributions, plus student-loan–linked matching in the U.S. Some roles also note legacy pension coverage and automatic enrollment features that reinforce long-term savings.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, telehealth, mental-health/EAP resources, and wellness offerings. Materials also point to day-one eligibility in many roles and added programs like fertility, family-building, and menopause support.
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Parental & Family Support — Family support includes paid parental leave, adoption/surrogacy assistance, and inclusive eligibility extending to domestic partners and dependents. Policies for caregiving and expanded family planning benefits are emphasized in recent company materials.
Trane Technologies Insights
What We Do
At Trane Technologies, we challenge possible by thinking bigger, acting bolder and taking actions that not just improve our own performance but influence global change. Our world contends with unprecedented challenges. Our future has never been more uncertain. Urbanization is dramatically reshaping our communities, our resources are more constrained that ever before, and climate change is accelerating at an astonishing rate. We believe it is time to challenge industry norms and be at our most creative every day. To get there, we’ve committed to ambitious sustainability goals and we will change the way the world heats and cools buildings and moves refrigerated food, medicines, and other perishables. Global change starts when we each have the courage to act. And when we act, we boldy go. Won’t you join us?









