Drive the future of HR and workforce analytics in a large, mission-driven healthcare system, designing and delivering advanced, action-oriented data science solutions that truly impact employee engagement, patient outcomes, and financial performance. This role is ideal for a self-driven, visionary data scientist who thrives on creating transformative projects, influencing leaders at all levels, and building not just insights, but actionable change across the organization—leveraging expertise in AI, causal inference, and predictive analytics to fuel rapid, sustainable improvement.

Role Overview

As a People Analytics Data Scientist, you will design and implement scalable, innovative solutions using advanced data science methods—ranging from observational experimentation and causal inference to predictive modeling and cutting-edge agentic AI. Your work will uncover high-confidence relationships between employee experience and business outcomes, then translate those findings into customer-facing solutions that inspire leaders to take action. You will partner with stakeholders across HR, clinical operations, finance, and executive leadership, ensuring actionable insights are embedded directly into decision-making. In addition, you will mentor colleagues, raising the bar for analytics practices across the team.

Key Responsibilities

Design and lead analytical projects that transform HR data into actionable insights connected to organizational outcomes.
Develop and apply advanced techniques, including causal inference, experimentation, predictive modeling, and AI-driven solutions, to identify factors influencing workforce, clinical and business performance.
Build analytic frameworks that accelerate not only time to insights but time to action-taking.
Apply agentic AI approaches to create decision-support solutions that nudge and inspire leaders to act on insights.
Translate complex concepts into clear narratives for both technical and non-technical stakeholders, influencing leaders at all levels.
Proactively identify opportunities where data can positively shape outcomes across HR, clinical, and financial domains.
Mentor and coach junior analytics team members, fostering stronger technical, strategic, and storytelling capabilities.

Highly Preferred Skills & Qualifications

Advanced degree (Master’s or PhD) in data science, statistics, computer science, economics, or a related quantitative field.
Proven experience leading end-to-end data science projects in HR, healthcare, or related domains.
Deep expertise in observational studies, causal inference, and experimentation (e.g., quasi-experimental designs, A/B testing, natural experiments).
Proficiency in data science tools and languages (Python, R, SQL, cloud-based environments).
Strong understanding of predictive modeling, machine learning, and AI, including emerging approaches such as agentic AI.
Exceptional communication skills with demonstrated ability to influence organizational leaders and inspire adoption of solutions.
Track record of mentoring and building team capability.
Self-starter who thrives in environments with high autonomy and broad impact.

Nice-to-Have Experience

Experience in healthcare, hospital systems, or regulated industries.
Integration of data-driven insights directly into workflows, digital tools, or decision-support platforms.
Knowledge of workforce strategy, HR analytics, or organizational effectiveness metrics.

What Makes This Role Unique

Opportunity to pioneer agentic AI and human-centered data science within healthcare HR.
Direct influence on reducing workforce challenges that affect employee and improve patient and business outcomes.
High visibility across leadership, with the ability to transform insights into systemic organizational change.
A mandate to shape strategy, not just analyze data—this role is built for action-oriented impact.

Salary: The pay range for this position is $47.41/hour ($98,612/year) for those with entry-level qualifications up to $84.42 ($175,593) for those highly experienced. The specific rate will depend upon the successful candidate's specific qualifications and prior experience.

Minimum Qualifications