Senior Data Scientist

Trane Technologies

. Design, build, and deploy autonomous LLM-powered agents and connectors interfacing with building energy modeling and HVAC simulation tools .

Posted 10/14/2026full-timeUnited StatesSenior💰 $117,673 - $164,675 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying autonomous LLM-powered agents, utilizing generative AI models, and developing verification and validation tools. Proficient in data science methodologies, including statistics and machine learning, with strong capabilities in data preprocessing and visualization.

Highest-signal resume keywords

PhD Or Master’s Degree In Data ScienceProficiency In Python And SQLExperience With Generative AI ModelsStrong Background Working With Azure Or GCPExpertise In Statistics And Machine Learning Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PreprocessingMachine Learning TechniquesModel BuildingETL ProcessesVerification And Validation ToolsAPI ManipulationHigh-Volume Time Series DataStatistical AnalysisData VisualizationWorkflow Design

Soft Skills

CollaborationConstructive FeedbackCommunication

Tools & Technologies

PymongoNoSQL DatabasesDockerReactNext.jsFlaskGitHubAzureGCP

Industry Keywords

Mechanical IndustryBuilding Energy ModelingHVAC Simulation

Tech Stack

Tools & technologies

AzureDockerETLFlaskGoogle Cloud PlatformJavaScriptNext.jsNoSQLPythonReactSQL

About the role

Key responsibilities & impact

Design, build, and deploy autonomous LLM-powered agents and connectors interfacing with building energy modeling and HVAC simulation tools
Translate 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 and submit work for review
Provide constructive feedback on others' work
Generate ETL pipelines and preprocess datasets
Develop verification and validation tools
Work with datasets from multiple sources and formats
Prepare reports and visualizations communicating project scopes and progress
Prepare detailed application documentation
Utilize generative AI models through API calls in code

Requirements

What you’ll need

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 and supervised and unsupervised machine learning techniques
Ability 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 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
Ability to translate complex requirements into actionable tasks
Ability to prepare reports and visualizations
Requires 10-20% travel

Benefits

Comp & perks

Health insurance
Holistic wellness programs with generous incentives
Fertility coverage
Adoption/surrogacy assistance
Up to 15 vacation days
Paid holidays
Sick leave
Volunteer leave
Parental leave
401K match
Educational and training opportunities through company programs
Tuition assistance
Student debt support