Senior Data Scientist

Trane Technologies plc; Broomfield (CO); Hybrid; USD 149,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401K match

Paid time off

Tuition assistance

Education benefits

Job summary

Trane Technologies plc is seeking a highly skilled Senior Data Scientist to join our team. You will design autonomous AI agents interfacing with building energy models and HVAC simulations, translating complex tasks into executable workflows and tool calls.

You will collaborate with cross-functional teams, prepare detailed project workflows, and develop verification tools. The role emphasizes a proactive approach to project work, effective client communication, and travel of 10–20%.

Qualifications

• PhD or Master7s degree in Data Science, CS, Statistics or Mechanical Engineering or related field.
• 38-5 years of experience in mechanical industry preferred.
• Expertise in statistics, supervised and unsupervised machine learning techniques and their appropriate uses; ability to apply modeling best practices to high-volume 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 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 and communication skills.

Responsibilities

• Design, build, and deploy autonomous LLM-powered agents and connectors interfacing with building energy modeling (BEM) and HVAC simulation tools.
• Translate complex multi-step simulation tasks 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

Skills

Python

SQL

Generative AI

API manipulation

NoSQL (Pymongo)

Education

PhD or Master7s in Data Science/CS/Statistics/Mechanical Eng

Tools

Docker

React

Next.js

Flask

GitHub

Pymongo

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, 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 - $189,800.00

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

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.