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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 ResponsibilitiesThe 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 QualificationsAs a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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