Senior Data Scientist
About The Position
Trane Technologies is seeking a resourceful Senior Data Scientist to identify opportunities in systems and processes and apply existing and emerging technologies, including when data availability is limited. The role involves working independently with minimal supervision as part of a collaborative team, submitting work for review, reviewing others’ work, identifying projects, preparing workflows, and communicating effectively with clients and peers. The Senior Data Scientist will design, build, and deploy autonomous LLM-powered agents and connectors for building energy modeling and HVAC simulation tools. The role translates complex simulation tasks into executable agentic workflows, develops ETL pipelines and data validation tools, works with data from multiple sources and formats, and prepares reports, visualizations, and application documentation. The position requires 10–20% travel. The work arrangement is onsite Monday through Thursday, with the option to choose the work location on Fridays according to work requirements.
Requirements
- PhD or Master’s degree in Data Science, Computer Science, Statistics, Mechanical Engineering, or a related field.
- Expertise in statistics and supervised and unsupervised machine learning techniques, including selecting appropriate techniques.
- Ability to apply common modeling best practices to 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.
- 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.
Nice To Haves
- 3–5 years of experience in the mechanical industry.
- Familiarity with Docker containers, React, Next.js, and Flask.
- Experience in rapid application development and deployment through GitHub.
Responsibilities
- Design, build, and deploy autonomous LLM-powered agents and connectors that interface with building energy modeling and HVAC simulation tools.
- Translate multi-step simulation tasks, including 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 reports and visualizations to communicate project scope and progress.
- Prepare detailed application documentation.
- Use generative AI models and manipulate them through API calls in code.
Benefits
- Health insurance and holistic wellness programs with incentives, effective on day one for the employee and family.
- Fertility coverage and adoption/surrogacy assistance.
- Up to 15 vacation days, paid holidays, sick leave, and additional options supporting volunteer and parental leave.
- 401(k) match.
- Educational and training opportunities through company programs.
- Tuition assistance and student debt support.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
