
10,000+ employees
🏭 Manufacturing
⚡ Energy
🤝 B2B
Manufacturing • Energy • B2B
Trane Technologies is a global industrial company that designs, manufactures and services HVAC, refrigeration and building systems and controls, focusing on energy-efficient climate solutions and sustainability. The company supplies commercial and industrial customers with equipment, controls and field services, operates manufacturing and supply-chain operations worldwide, and emphasizes reducing customers' carbon footprint through initiatives such as its 2030 commitments and the Gigaton Challenge.
🔥 9 minutes ago
🌲 North Carolina – Remote
💵 $117.7k - $164.7k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
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10,000+ employees
🏭 Manufacturing
⚡ Energy
🤝 B2B
Manufacturing • Energy • B2B
Trane Technologies is a global industrial company that designs, manufactures and services HVAC, refrigeration and building systems and controls, focusing on energy-efficient climate solutions and sustainability. The company supplies commercial and industrial customers with equipment, controls and field services, operates manufacturing and supply-chain operations worldwide, and emphasizes reducing customers' carbon footprint through initiatives such as its 2030 commitments and the Gigaton Challenge.
• 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
• 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
• 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
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