Lead Data Scientist

Remote Core Solutions; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading healthcare recruitment company is seeking a Lead Data Scientist to drive strategic analytics projects in Houston, TX. The ideal candidate will have over 7 years of data science experience and a strong background in machine learning and healthcare data. This role involves designing advanced data models, mentoring junior scientists, and presenting insights to senior leadership. A Bachelor's in a STEM field is required, with a Master's preferred. Competitive salary and opportunities for growth are offered.

Qualifications

• 7+ years of hands-on data science experience.
• Proven project leadership experience and ability to drive results independently.
• Experience presenting complex findings to C-level stakeholders.

Responsibilities

• Lead the design, development, and implementation of predictive models.
• Build, maintain, and validate machine learning algorithms.
• Translate complex findings into actionable insights.

Skills

Data science experience

Strong communication skills

Machine learning techniques

Project management

Education

Bachelor's Degree in STEM field

Master's Degree preferred

Tools

Python

R

SQL

Data visualization tools

Job description

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, we are 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).