Lead Data Scientist

About the job Lead Data Scientist

People are our passion and purpose. Come work where you are valued for who you are, not just for what you can do. Remote Core Solutions provides tailored outsourcing and recruiting solutions, connecting high-performing talent with companies across a wide range of industries from startups to large enterprises. We take pride in matching candidates with roles where they can grow, innovate, and make an impact.

About Our Client :

Our client is a nationally recognized healthcare system focused on innovation, technology, and data-driven decision-making. Their enterprise data and analytics team supports transformative work across patient care, operations, and strategic initiatives. As they continue to invest in AI and data science, were helping them hire a dynamic Lead Data Scientist to spearhead strategic analytics projects, machine learning models, and executive-level insights across the organization. This role will be in person, in Houston, TX.

About the Role :

The Lead Data Scientist will lead critical enterprise-wide data science initiatives, manage high priority projects, and provide mentorship to junior data scientists. The ideal candidate is a hands-on builder who thrives at the intersection of healthcare, machine learning, and executive-level strategy. You'll be responsible for designing advanced models, leading stakeholder communication, and driving data science maturity across the organization.

Responsibilities :

• Lead the design, development, and implementation of predictive and prescriptive data science models using healthcare and EHR datasets.
• Build, maintain, and validate machine learning algorithms for structured and unstructured data.
• Translate complex findings into actionable insights and present them to senior leadership and C-level executives.
• Develop custom data pipelines and oversee large-scale data set construction.
• Mentor junior data scientists and support ongoing training within the department.
• Serve as project lead on cross-functional initiatives involving clinical, finance, and operations data.
• Partner with key stakeholders to identify high-impact opportunities for analytics across departments.
• Maintain and optimize existing models, monitor model drift, and validate performance over time.
• Actively participate in vendor evaluations and provide recommendations for new tools and platforms.
• Ensure best practices in documentation, version control, and reproducibility across projects.

Must-Haves :

Interview Process :