The HR Data Scientist applies Statistical theory and methods to collect, interprets and summarizes People Data. Based on these outcomes, then makes predictions and presents clear, actionable recommendations on HR related issues.

HR Data Scientist Job Responsibilities

Quickly and efficiently analyzes large, complex datasets related to HR data. Designs and implements experiments to test the effectiveness of HR initiatives and programs. Creates data visualizations and dashboards to communicate insights and recommendations to HR and business leaders. Collaborates and partners with various stakeholders to identify opportunities for data-driven improvements in HR processes and programs. Stays up to date on the latest developments in data science, HR analytics, and technology, and leverages this knowledge to drive innovation and continuous improvement in HR. Ensures data quality, accuracy, and completeness in all analyses and reports. Closely consults with leadership to ensure the security, privacy, and compliance of HR data and analytics. Pay perform additional duties as assigned.

HR Data Scientist Minimum Requirements

5 years of data analytics experience including data analysis, modeling, and visualization Bachelor's degree in data science, statistics, computer science, or related field

HR Data Scientist Preferred Qualifications

Proficiency in R and Python for statistical analysis and data modeling. Experience in applying predictive and prescriptive analytics techniques to solve complex business problems. Strong ability to analyze and interpret data using advanced statistical methodologies.

 

Remote Eligibility: This position is eligible for remote work for candidates residing in the following states – AL, AZ, DC, DE, FL, GA, KY, ME, MD, MO, NC, OH, PA, SC, TN, TX, UT, VA, WV