At At Trane TechnologiesTM  and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

What’s in it for you:

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient environments, it's our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

We are seeking an innovative and experienced Data Science Lead Analyst to drive the integration of AI, machine learning, and automation technologies within our organization. This role will focus on enhancing operational efficiency, optimizing workflows, and delivering data-driven insights through advanced automation solutions. The ideal candidate will have a strong background in data science, automation, and leadership, with a proven track record of implementing successful AI-driven projects.

Thrive at work and at home:

·       Inclusive Wellbeing Program, with resources to support your and your family’s physical, social, emotional, and financial well-being. 

·       Comprehensive learning and development solutions, designed to support our people in connecting and growing, including Higher education/Certification reimbursement.

·       Sense of belonging & community through our Employee Resource Groups that foster our culture of inclusion.

·       Volunteerism: 8 hours of paid time off per calendar year to volunteer with non-profit charitable organizations.  

·       The Trane Technologies Helping Hands Fund to support employees facing financial challenges due to unforeseen personal hardship.

Where is the work:

Onsite: This position has been designated as On-Site.

What will you do:

·       Development and execution of the automation strategy for supply chain operations, leveraging AI and machine learning to enhance operational efficiency.

• Identify opportunities for automation across various supply chain processes and functions.
• Build supply chain network models and create cost optimization scenarios to support supply chain footprint studies.
• Stay updated with the latest advancements in AI and automation technologies to ensure the organization remains at the forefront of innovation.
• Design, develop, and deploy AI and machine learning models to automate complex supply chain tasks and processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing supply chain systems and workflows.
• Ensure the scalability and robustness of AI models and automation solutions.
• Oversee the collection, processing, and management of large datasets to support supply chain automation initiatives.
• Ensure data quality, integrity, and compliance with relevant regulations and standards.
• Implement data governance practices to maintain transparency and accountability.
• Analyze existing supply chain workflows and processes to identify bottlenecks and inefficiencies.
• Develop and implement automated solutions to streamline workflows and improve productivity.
• Monitor and evaluate the performance of automated systems to ensure continuous improvement.
• Work closely with IT, data engineering, Master Data Management (MDM), and other relevant teams to ensure seamless integration of automation solutions.
• Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
• Build strong relationships with key stakeholders to drive the adoption of automation technologies.
• Develop metrics and KPIs to measure the impact of automation initiatives on supply chain performance.
• Prepare and present detailed reports and dashboards to senior management.
• Use data visualization tools to provide actionable insights and facilitate decision-making.

What you will bring:

Education: Advanced degree (Master's or Ph.D. or Bachelors) in Data Science, Computer Science, Engineering, Supply Chain Management, or a related field.

Experience: Proven experience (typically 6+ years) in data science, with a focus on AI and automation in supply chain management.

Skills:

• Strong experience in developing data science and automation projects.

• Proficiency in programming languages and tools commonly used in Data Analysis, Data Science and automation (e.g., Gen AI, LLM, Python, SQL, TensorFlow, PyTorch, Chatbot).

• Strong experience in Data Analysis using any data visualization tools (e.g., Tableau, Power BI, Looker, etc.) and cloud data technologies (e.g., GCP, AWS, Azure etc).

• Experience with data manipulation libraries such as Pandas and NumPy.

• Excellent problem-solving skills and the ability to think strategically and analytically.

• Strong communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.

• Familiarity with Optilogic Cosmic Frog, Coupa Supply Chain Modeler, Gurobi Optimization, or similar

• Familiarity with SQL for database querying.

• Knowledge of data governance, data privacy, and ethical considerations in AI and automation.
  
  

Career Break:   

We have a Relaunch Program for professionals looking to restart their careers after a break. If you come with a career break of at least 12 months and match the work experience requirements mentioned, you are welcome to apply. 

Equal Employment Opportunity:     

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.