Senior Data Scientist

Trane Technologies is seeking a Senior Data Scientist to help design and deploy autonomous, LLM-powered agents and connectors that interface with building energy modeling (BEM) and HVAC simulation tools. The role blends agentic workflow development with data engineering, verification and validation tooling, and clear communication of project outcomes through reporting and visualizations.

This onsite position is based in Davidson, NC, with travel expected at 10-20%. The annual base salary range is USD 117,673 - 164,675 (salary).

What you’ll do

• Design, build, and deploy autonomous LLM-powered agents and connectors that interface with BEM and HVAC simulation tools.
• Convert complex, multi-step simulation work into executable agentic workflows and tool-calling routines, including geometry intake, thermal load calculations, equipment sizing, schedule definitions, and parametric runs.
• Prepare detailed project workflows and execute them efficiently.
• Collaborate with cross-functional teams, submit work for review, and provide constructive feedback to others.
• Build ETL pipelines, preprocess datasets, and develop verification and validation tools.
• Work with datasets from multiple sources and formats.
• Create comprehensive reports and visualizations to communicate project scope and progress.
• Prepare detailed documentation for applications.
• Use generative AI models and manipulate them through API calls in code.

Requirements

• PhD or Master’s degree in Data Science, Computer Science, Statistics, Mechanical Engineering, or a related field.
• 3-5 years of experience is preferred for mechanical industry; minimum experience requirement is 3 years.
• Expertise in statistics and both supervised and unsupervised machine learning, including applying modeling best practices to build models using high-volume, asynchronous time series data.
• Python and SQL proficiency.
• Experience with generative AI models and API manipulation.
• Experience with Pymongo and NoSQL databases.
• Strong background working with Azure and/or GCP.
• Familiarity with Docker containers and front-end/back-end frameworks and libraries including 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.
• Excellent problem-solving skills and the ability to translate complex requirements into actionable tasks.
• Strong communication skills, including preparing reports and visualizations.

Technologies and tools

• LLM-powered agents, building energy modeling (BEM), HVAC simulation tools
• Python, SQL, generative AI models, API calls
• Pymongo, NoSQL databases
• Azure, GCP
• Docker containers
• React, Next.js, Flask
• GitHub
• ETL

Benefits

• Benefits begin on DAY ONE for you and your family, including health insurance and holistic wellness programs with generous incentives.
• Family building benefits including fertility coverage and adoption/surrogacy assistance.
• Paid time off: up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
• 401K match, educational and training opportunities, along with tuition assistance and student debt support.

Work schedule and location

• Monday to Thursday: work onsite with your colleagues.
• Fridays: choose your work location, balancing what your work requires.