Data Scientist – Human Resources –

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

Overview:

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

Responsibilities:

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.

Qualifications:

• 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.