Senior Data Scientist

Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane® and Thermo King , 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. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. A Senior Data Scientist role offers the opportunity to make a meaningful impact by turning complex data into insights that drive strategic decisions and real business outcomes. You’ll have end-to-end ownership of advanced analytics and machine learning solutions, work with modern tools and technologies, and collaborate closely with cross-functional teams. The role provides strong opportunities for professional growth, continuous learning, and advancement, all within a supportive, purpose-driven culture focused on innovation, sustainability, and delivering measurable value. 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: From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires. What you will do: In this role you will: Partner with product, engineering, and business teams to define requirements and deliver actionable data-driven insights. Analyze large, complex datasets to develop actionable insights that support strategic and operational decision-making. Design and develop data pipelines, ETL processes, and analytical tools using SQL and Python. Lead Python-based development for automation, data transformation, integration tasks, and ML/AI pipeline development. Conduct in-depth exploration and advanced analytics to uncover patterns, anomalies, and business opportunities. Apply machine learning, advanced analytics, and GenAI techniques to solve business problems. Perform feature engineering, model validation, and performance optimization for ML models. Stay current with emerging trends in AI/ML and recommend innovative approaches and technologies. Ensure data quality, governance, and compliance with organizational standards and best practices Contribute to and help improve CI/CD processes for analytics including version control (Git) Apply DevOps principles to improve reliability, monitoring, and maintainability of analytical workflows. Identify opportunities for operational improvements and promote consistent data quality standards across analytics teams. Maintain and enhance documentation, ensuring clarity and alignment across stake holders. What you will bring: B.E/B.Tech in Computer Science, Data Science or Engineering; master’s in data science is preferred. 5–7 years of professional experience in data science and advanced analytics. Expertise in SQL includes complex querying, performance tuning, and data modeling. Advanced proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning algorithms, statistical modeling, and applied mathematics. Experience in deploying ML models into production environments. Good understanding and exposure to GenAI concepts and practical applications Strong analytical, problem-solving, and communication skills. Solid experience working with cloud platforms such as AWS, GCP and Azure. 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. 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.