Lead Data Scientist
Remote Core Solutions
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.
- 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.
- 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:
- Recruiter Interview / Screening
- Hiring Manager Interview
- Final Panel Interview
Vacancy posted 3 days ago
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