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Data Scientist – Human Resources –

AutoNation Headquarters

This is a Full-time position in Fort Lauderdale, FL posted November 29, 2023.

**Must be at least 18 years old to be considered.**



Position Overview:

We are seeking an experienced and talented Data Scientist to join our AutoNation Human Resources team. The ideal candidate should possess a strong background in data analysis, machine learning, and statistical modeling, along with a deep understanding of HR processes and challenges. The Data Scientist will be responsible for uncovering patterns, trends, and correlations within HR data to enable evidence-based decision-making, enhance workforce management, and support strategic HR initiatives.


This position requires previous Human Resource Data Science experience



Data Analysis and Visualization

  • Extract, clean, and transform HR-related data from various sources to ensure data accuracy and reliability.
  • Conduct exploratory data analysis to identify trends, patterns, and insights related to workforce demographics, performance metrics, engagement levels, and more.
  • Develop interactive data visualizations and dashboards to communicate complex HR insights to stakeholders effectively.

Predictive Modeling

  • Build predictive models to forecast attrition rates, employee performance, and other critical HR outcomes.
  • Collaborate with HR business partners to define relevant metrics and key performance indicators for workforce planning and optimization.
  • Use statistical techniques and machine learning algorithms to identify factors influencing employee turnover, engagement, and productivity.

Talent Analytics

  • Collaborate with HR teams to design and conduct analyses on talent acquisition, employee development, and succession planning.
  • Provide data-driven insights to guide strategic workforce planning, such as identifying skill gaps and determining training needs.
  • Assist in the development of metrics and benchmarks to measure the effectiveness of HR initiatives.

Employee Experience Enhancement

  • Analyze employee feedback and engagement survey data to uncover trends and sentiment, helping to improve workplace satisfaction and well-being.
  • Develop sentiment analysis models to understand employee sentiment and identify areas for improvement in company culture and policies.

Cross-Functional Collaboration

  • Collaborate with cross-functional teams, including HR, IT, and business analysts, to gather requirements and deliver actionable insights.
  • Present findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.


  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, HR Analytics, or a related field.
  • 5-7 years of proven experience as a Data Scientist, preferably with experience in HR analytics.
  • Strong proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling.
  • Proficiency with data visualization tools (Power BI preferred) to create interactive and insightful dashboards.
  • Experience with machine learning algorithms, predictive modeling, and statistical analysis.
  • Familiarity with HRIS (Human Resources Information System) and HR-related data sources.
  • Excellent problem-solving skills and the ability to translate business questions into data-driven solutions.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Detail-oriented and capable of managing multiple projects simultaneously.
  • Strong communication skills to present complex findings and insights to both technical and non-technical audiences.
  • Knowledge of HR processes, policies, and industry trends is highly desirable.
  • Ability to work collaboratively in cross-functional teams and adapt to a dynamic and fast-paced environment.