Lead Data Scientist

Full time

Employment Information

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.

Thrive at work and at home:

  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off, including in support of volunteer and parental leave needs.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.
  • Learn more about our benefits here!


  • 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.


  • 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)

Key Competencies:

  • Expertise in statistics, supervised and unsupervised machine learning techniques and their appropriate uses; ability to apply common modeling best practices to build models using high-volume, asynchronous time series data
  • Strategic Thinking- Ability to develop and implement a strategic framework on how to deploy Artificial Intelligence within HR
  • 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 Compensation Range is $142,800 to $189,200

Disclaimer: This base salary range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed

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.


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