Description

*Job Summary* 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* * EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification * EXPERIENCE - 5 Years of Experience