Senior Data Scientist
Job in
Davidson, Mecklenburg County, North Carolina, 28036, USA
Listed on 2026-10-10
Listing for:
Trane Supply
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
Virtuel:
Davidson, Caroline du Nord:
Temps plein:
Publié aujourd'hui:
JR-16844
Faites partie de notre mission! En tant que chef de file mondial dans la création de solutions climatiques confortables, durables et efficaces pour les bâtiments, les habitations et le transport, nous avons la responsabilité de placer la planète au premier plan. Pour nous, chez Trane Technologies, ainsi que par l’entremise de nos entreprises, y compris
Traneet
Thermo King La durabilité n’est pas seulement une façon de faire des affaires—c’est au cœur de notre mission. Osez-vous regarder les défis mondiaux et y voir des possibilités porteuses d’impact? Souhaitez-vous contribuer à bâtir un avenir meilleur? Si vous avez répondu oui, nous vous invitons à envisager de vous joindre à nous pour repousser les limites du possible en faveur d’un monde durable.
Découvrez nosavantagesconçu pour vous permettre de vous épanouir au travail et à la maison.
Nous avançons avec audace.
** Où se trouve le travail :
** Virtuel
* * What's in it for you:*
* *
* Job Summary:
**** Remote Location
- ** The CHVAC Analytics & Technology Solutions team mission is to harness data and technology to solve business challenges, implement AI-driven solutions, and build scalable data products to drive revenue growth, improve productivity, and add customer value.
We are seeking a senior data scientist to partner with stakeholders, program managers, and other data science functions to translate the CHVAC Analytics & Technology Solutions team’s data into value. This role collaborates across sales, IT, and other business functions to translate complex, raw data into actionable insights, leveraging advanced data science techniques to solve critical problems, drive innovation, and support strategic decision-making.
*
* What you will do:
**
* ** Responsibilities:** +
** Model Development & Data Strategy:
** Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems +
** Model Deployment:
** Implement robust MLOps practices to ensure seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. +
** Model Evaluation:
** Develop robust design of experiments and statistical frameworks to evaluate and measure the impact of your data science solutions. +
** Collaboration with Cross-Functional Teams:
** Work closely with a strong team of data engineers, product owners, sales leaders, and IT to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. + Pioneer peer reviews and fosters a culture of continuous improvement and learning + Champion best practices in data science, including data governance, model validation, and ethical AI considerations + Highlight opportunities to use new data sources and new data science tools that are value-adding and cost effective
** What you will bring:
*** You have 6+ years of experience in data science & machine learning, ideally within the manufacturing, HVAC or Supply Chain industry.
* You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models.
* You have a proven track record of deploying highly 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…
Position Requirements
10+ Years
work experience
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