Lead Data Scientist

at  Trane Technologies

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.
This position is eligible for a Hybrid work schedule (3 or more days onsite a week) and will be based out of our Davidson, NC location

JOB SUMMARY：

The lead data scientist will be responsible for developing the strategy of enabling and advancing generative AI for HR. They will leverage 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 deep understanding of HR data, statistical analysis, and the ability to translate complex insights into actionable recommendations for HR leaders.

QUALIFICATIONS:

• 7+ years of experience in data science or analytics roles, with a focus on analytics and machine learning.
• Expertise in programming languages such as Python, R, or SQL for data extraction, cleaning, and analysis.
• Expertise in working with machine data / time series data
• Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills to derive insights from large datasets.
• Bachelor’s degree in data science, computer science, statistics, or a related field (master’s or PhD preferred)

• Establish strategy and roadmap for generative AI use for the HR function, inclusive of where to build vs. buy, and how to deploy AI capabilities that are ethical auditable.
• Develop and implement predictive models and algorithms using advanced analytics and machine learning techniques to optimize HR processes and decision-making.
• Extract, clean, and analyze large datasets to derive meaningful insights and identify patterns and trends related to HR metrics, talent management, and employee engagement.
• Collaborate with cross-functional teams to identify opportunities for AI implementation in HR functions
• Translate complex technical concepts into actionable recommendations for HR leaders and stakeholders, effectively communicating the value and impact of data-driven solutions.
• Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI technologies, continuously learning and adapting to drive innovation in HR analytics.
• Ensure data privacy and security by adhering to relevant regulations and best practices in data handling and analysis.
• Conduct regular evaluations and assessments of implemented models and algorithms to measure their effectiveness and make necessary improvements.
• Collaborate with IT, HR, and other analytics teams to ensure seamless integration and deployment of AI-enabled HR solutions.