Our client, a nationally recognized healthcare system, is looking to hire a Lead Data Scientist to spearhead strategic analytics projects, machine learning models, and executive-level insights across the organization, focusing on innovation, technology, and data-driven decision-making.
Requirements
- 7+ years of hands-on data science experience.
- 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).
- Proven project leadership experience and ability to drive results independently.
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.
- 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.
- 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.
Other
- Bachelors Degree in a STEM related field (Science, Engineering, Mathematics, or Computer Science) Master's preferred.
- Strong communication skills with experience presenting to C-level stakeholders.
- Ability to work in person, in Houston, TX.
- Travel requirements not specified
- Must be able to thrive at the intersection of healthcare, machine learning, and executive-level strategy.
