People Data Scientist

The People Data Scientist applies advanced statistical analytical and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling experimentation machine learning and workforce analytics to identify trends assess organizational effectiveness and inform strategies related to talent acquisition employee engagement retention performance workforce planning and diversity initiatives.  Working collaboratively with Human Resources Talent Acquisition Total Rewards Learning and Development Finance and business leaders the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models conducts research and experimentation and delivers data-driven insights that improve organizational performance while ensuring ethical responsible and compliant use of employee data.

Job Responsibilities:

• Serve as a subject matter expert for HR technology workforce data and people analytics supporting the optimization and effective use of HCM systems and reporting solutions.
• Facilitate and support HCM system implementations enhancements integrations testing and ongoing system optimization across HR Payroll Benefits Talent and Workforce Management functions.
• Partner with HR Finance IT Payroll and business leaders to gather requirements improve processes and implement scalable workforce technology and analytics solutions.
• Configure and maintain HRIS workflows security roles business processes system controls and reporting structures to support operational efficiency and data integrity.
• Manage workforce data governance activities including data validation audits compliance monitoring and the maintenance of accurate and reliable employee data across multiple systems.
• Develop workforce analytics and statistical analyses to identify trends correlations and actionable insights related to headcount turnover retention recruiting labor costs engagement diversity and workforce planning.
• Apply predictive analytics forecasting techniques and data modeling methodologies to support strategic workforce planning and organizational decision-making.
• Design develop and maintain dashboards scorecards and executive reporting solutions that provide visibility into key workforce and business metrics.
• Translate complex workforce data into clear visualizations executive presentations and data-driven narratives that connect peoples metrics to business outcomes.
• Create and maintain automated reporting processes data integrations and data pipeline solutions that improve efficiency accuracy and scalability of workforce reporting.
• Partner with HR Centers of Excellence including Talent Acquisition Total Rewards Learning and Development and Employee Relations to support analytical and reporting needs.
• Identify opportunities to improve workforce processes reporting capabilities and HR technology solutions through data analysis automation and emerging technologies including AI-enabled tools.

Qualifications :

Education Experience Knowledge Skills and Abilities:

• Bachelors degree in data science Statistics Mathematics Economics Industrial-Organizational Psychology Computer Science Analytics Business Human Resources or a related quantitative field required; Masters degree preferred.
• Minimum of 5 years of experience in data science people analytics workforce analytics applied research or a related analytical discipline.
•  Strong knowledge of statistical modeling predictive analytics machine learning hypothesis testing survey methodology and experimental design.
• Proficiency in SQL and at least one analytical programming language such as Python or R.
• Experience working with business intelligence and data visualization tools to develop dashboards reports and executive presentations.
• Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences.
• Knowledge of workforce analytics organizational research methods employee lifecycle metrics and talent management concepts preferred.
• Strong critical thinking problem-solving and analytical skills with the ability to independently manage complex projects and priorities.
• Understanding of data governance data privacy responsible AI practices and bias mitigation principles.
• Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations.

Additional Information :

We Offer:

• Medical Dental and Vision starting the 1st of the month following 30 days of employment
• 2 Weeks starting Vacation per year.  Increasing based on years of service with company
• 10 paid Holidays and 1 Floating Holiday
• 401K with a Company Match
• Company Paid Life Insurance at 1xs your annual salary
• Leadership development and training for career advancement
• Tuition assistance and Forgiveness for you and your family up to 100% depending on program

Remote Work :

No

Employment Type :

Full-time