Data Scientist

Applicants must be currently authorized to work in the United States. ChristianaCare will not sponsor applicants for this position for an employment visa now or in the future.

Do you want to work at one of the Top 100 Hospitals in the nation? We are guided by our values of Love and Excellence and are passionate about delivering health, not just health care. Come join us at ChristianaCare!

ChristianaCare Offers:

• Medical, Dental, Vision, Life Insurance, etc.

• Two retirement planning offerings, including 403(b) with company contributions.

• Generous paid time off with annual roll-over and opportunities to cash out.

• 12-week paid parental leave

• Tuition assistance

• Incredible Work/Life benefits including annual membership to care.com, access to backup care services for dependents through Care@Work, retirement planning services, financial coaching, fitness and wellness reimbursement, and great discounts through several vendors for hotels, rental cars, theme parks, shows, sporting events, movie tickets and much more!

PRIMARY FUNCTION:

Develops, applies, and advances enterprise workforce intelligence and predictive analytics to inform strategic decision-making across ChristianaCare. This role is responsible for transforming complex workforce, operational, and external data into forward-looking insights that anticipate workforce trends, identify emerging risks and hotspots, and guide leadership action.

The Data Scientist Workforce Intelligence partners with HR Senior Leadership, HR Centers of Excellence, and enterprise stakeholders to shape workforce strategy related to talent supply, retention, well-being, leadership effectiveness, labor risk, and organizational performance. This role serves as a foundational leader for advanced workforce analytics, establishing analytic standards, methods, and responsible practices that elevate data-driven decision-making across HR and the organization.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Design and deliver advanced, value-driven workforce analytics that move beyond descriptive reporting to predictive modeling, scenario analysis, and strategic insight.
• Develop and maintain predictive models related to key workforce outcomes, including but not limited to retention, engagement, well-being, absenteeism, talent supply, and performance variability.
• Identify and analyze emerging workforce risks and hotspots (e.g., rapid engagement decline, leadership-level variance, role or unit-based stress points, labor relations sensitivity indicators) to enable proactive leadership intervention.
• Analyze the impact of leadership and management practices on workforce outcomes, informing leadership development, accountability, and organizational effectiveness initiatives.
• Build scenario-based and “what-if” models to assess the potential workforce impact of policy changes, operational decisions, staffing models, and strategic initiatives.
• Apply statistical theory, data science methods, and analytical judgment to collect, integrate, and interpret large, complex datasets from multiple internal and external sources.
• Partner with HR leaders and enterprise stakeholders to translate analytical findings into clear, actionable insights and recommendations that support strategic and operational decision-making.
• Collaborates with enterprise analytics to support the deployment, monitoring, and continuous improvement of predictive models and advanced analytics solutions.
• Design and maintain scalable data pipelines, data aggregation, and standardization processes using programming languages and tools (e.g., Python, R, SQL).
• Develop executive-ready analyses, presentations, and thought leadership materials (e.g., reports, white papers) using data visualization and BI tools such as Power BI or Tableau.
• Access and analyze external and publicly available datasets to enhance benchmarking, modeling, and contextual understanding of workforce trends.
• Establish and promote responsible workforce analytics practices, including attention to data ethics, bias detection and mitigation, and appropriate use of predictive insights in a healthcare and labor-sensitive environment.
• Provide guidance, education, and knowledge transfer to HR analysts and partners to advance analytical maturity across the organization.
• Performs assigned work safely, adhering to established departmental safety rules and p