Senior Data Scientist

Trane Technologies

. Lead the design, development, and deployment of advanced machine learning models and algorithms for complex business problems .

Posted 10/8/2026full-timeRemote • North Carolina • United StatesSenior💰 $117,673 - $164,675 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning model development, deployment, and MLOps practices, with a strong focus on data governance and ethical AI. Proven ability to collaborate across teams and communicate complex concepts effectively to drive business solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentMLOps ImplementationData Science Solutions in SQL, R, and PythonCloud Environments (GCP, AWS)NLP and Generative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical Model DevelopmentExperimental DesignModel ValidationData GovernanceSQLRPythonMLOps PracticesData Science Tools

Soft Skills

Strong Communication SkillsCollaboration SkillsContinuous Improvement Mindset

Tools & Technologies

Cloud EnvironmentsERP SystemsCRM Systems

Industry Keywords

ManufacturingHVACSupply ChainData Science Best PracticesEthical AI

Tech Stack

Tools & technologies

AWSCloudERPGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead the design, development, and deployment of advanced machine learning models and algorithms for complex business problems
Implement MLOps practices for model training, versioning, monitoring, deployment, and scalability
Develop experimental designs and statistical frameworks to evaluate data science solutions
Collaborate with data engineers, product owners, sales leaders, IT, and business stakeholders
Support end-to-end development from ideation through deployment
Conduct peer reviews and foster continuous improvement and learning
Champion data science best practices, data governance, model validation, and ethical AI
Identify opportunities to use new data sources and data science tools that add value and reduce costs

Requirements

What you’ll need

6+ years of experience in data science and machine learning
Ideally, experience within the manufacturing, HVAC, or Supply Chain industry
Expertise in machine learning and statistical model development
Experience designing experiments to evaluate and measure model impact
Proven track record deploying impactful machine learning models into production environments
Experience with cloud environments, preferably GCP and AWS
Capability to develop data science solutions in SQL, R, and/or Python
Ability to utilize and adapt open-source solutions
Ability to explain complex mathematical and statistical concepts in simple terms and relate them to business challenges
Strong communication and collaboration skills
Demonstrated prior experience in NLP, large language models, or generative AI
Agile experience is a plus
Experience with ERP and CRM systems is a plus
Excellent written and verbal communication skills

Benefits

Comp & perks

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