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Senior Data Scientist

Trane Technologies
Davidson, USA
Full-time
Senior · 3–5 years experience
Onsite
Discovered 1 weeks ago

Full Job Posting

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:
  • $117,673.33 - $164,675.00
  • 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:
  • The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
  • 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.

Qualifications

  • Experience with generative AI models and API manipulation
  • Experience with Pymongo and NoSQL databases.
  • Familiarity with Docker containers, React, Next.js, and Flask.

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