Lead Data Scientist

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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:

• Bachelors Degree in a STEM related field (Science, Engineering, Mathematics, or Computer Science) Master's preferred.

• 7+ years of hands-on data science experience.

• Proven project leadership experience and ability to drive results independently.

• Strong communication skills with experience presenting to C-level stakeholders.

• Extensive experience building custom datasets and applying ML techniques (e.g., neural networks, regression models, clustering, forecasting).

• Cogito experience is required.

• AWS Certification is mandatory.

• Advanced experience with statistical programming (Python, R, or similar), SQL, and data visualization tools.

• Healthcare or hospital data environment experience preferred (e.g., EHR, revenue cycle, or clinical data).

Interview Process:

1. Recruiter Interview / Screening

2. Hiring Manager Interview

3. Final Panel Interview