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.
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.
The Data Scientist in HR will be responsible for leveraging advanced analytics and machine learning techniques to develop predictive models and algorithms that optimize HR processes and decision-making. They will collaborate with cross-functional teams to identify opportunities for AI implementation, enabling automation and efficiency in HR functions such as talent acquisition, performance management, and employee engagement. This role requires a strong understanding of HR data, statistical analysis, and the ability to translate complex insights into actionable recommendations for HR leaders.
Thrive at work and at home:
This position has been designated as a Hybrid work schedule with work performed onsite 3 days each week.
• Develop and Implement Predictive Models: Develop and implement predictive models and algorithms using advanced analytics and machine learning techniques to optimize HR processes and decision-making.
• Model Evaluation: Conduct regular evaluations and assessments of implemented models and algorithms to measure their effectiveness and make necessary improvements.
• Data Extraction and Analysis: Extract, clean, and analyze large datasets to derive meaningful insights and identify patterns and trends related to HR metrics, talent management, and employee engagement.
• Broader Analytical Needs: Assist with other broader analytical needs beyond AI as needed, including developing dashboards, data analysis, and ESG reporting.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to identify opportunities for AI implementation in HR functions.
• Data Privacy and Security: Ensure data privacy and security by adhering to relevant regulations and best practices in data handling and analysis.
What you will bring:
• Experience: 1-3 years of experience in data science or analytics roles, with a focus on analytics, machine learning, or artificial intelligence.
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL for data extraction, cleaning, and analysis.
• Communication Skills: Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders.
• Analytical Skills: Strong analytical and problem-solving skills to derive insights from large datasets.
• Education: Bachelor's degree in data science, statistics, or a related field (preferred).
- Customer focus- The need to design solutions with a customer first perspective. The ability meet customers where they are, understand business needs and co-create solutions
- Attention to detail- A natural disposition to distrust all data. The need to quality check every number is critical given the importance of the information we own and the seniority of leaders information flows to
- Delivering Results- Ability to independently deliver results consistently with a focus on incremental value
Base Pay Range: $90,000 to $130,000
Total compensation for this role will include a commission/incentive plan. Disclaimer: This base pay range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed.
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.
