Senior Data Scientist – AI‑Driven Energy Modeling

Trane Technologies plc

Davidson, Broomfield, Saint Paul, La Crosse (NC, CO, MN, WI)

On-site

USD 149,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Wellbeing programs

Job summary

Trane Technologies plc in Davidson, NC seeks a Senior Data Scientist to join our global team. The role focuses on creating autonomous AI agents, ETL pipelines, and data-driven insights for building climate control and energy efficiency systems. You will collaborate across teams and communicate project progress clearly.

The ideal candidate has a PhD or Master’s in a related field, 3–5 years in mechanical/industrial contexts, and strong python/ML skills. Travel 10–20% is required.

Qualifications

  • PhD or Master’s degree in a related field.
  • 3–5 years of experience in mechanical industry preferred.
  • Strong knowledge of statistics and supervised/unsupervised ML techniques.
  • Experience with high-volume, asynchronous time-series data.

Responsibilities

  • Design, build, and deploy autonomous LLM-powered agents and connectors interfacing with BEM and HVAC tools.
  • Translate complex simulation tasks into executable agentic workflows and tool-calling routines.
  • Prepare detailed project workflows and execute them efficiently.
  • Collaborate with cross-functional teams, review work, and provide feedback.
  • Generate ETL pipelines, preprocess datasets, and develop verification tools.
  • Work with multi-source datasets and prepare reports/visualizations.

Skills

Statistics
Machine learning
Time series
Python
SQL
Generative AI
API manipulation

Education

Master’s or PhD in Data Science or related field

Tools

Pymongo
NoSQL
Azure
GCP
Docker
React/Next.js/Flask
GitHub

Job description

Trane Technologies plc in Davidson, NC seeks a Senior Data Scientist to join our global team. The role focuses on creating autonomous AI agents, ETL pipelines, and data-driven insights for building climate control and energy efficiency systems. You will collaborate across teams and communicate project progress clearly.

The ideal candidate has a PhD or Master’s in a related field, 3–5 years in mechanical/industrial contexts, and strong python/ML skills. Travel 10–20% is required.

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