Lead Data Scientist

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Job details:
Lead Data Science in Healthcare! Build ML models, influence executives, work remotely, and turn data into better patient outcomes.

This Jobot Job is hosted by: Julian Okoro
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Salary: $110,000 - $135,000 per year


A bit about us:

We are a mission-driven healthcare organization leveraging advanced analytics, machine learning, and data science to improve decision-making, enhance operational performance, and support better outcomes across the healthcare ecosystem. Our team partners with business and clinical stakeholders to solve complex challenges using innovative, data-driven solutions that make a meaningful impact.


Why join us?

Work on high-impact projects that directly influence healthcare operations and patient outcomes.
Lead cutting-edge machine learning and predictive analytics initiatives using large, complex datasets.
Enjoy remote flexibility within approved states while collaborating with cross-functional teams.
Mentor and develop other data science professionals while expanding your leadership experience.
Competitive compensation, strong organizational support, and opportunities to shape enterprise-wide data strategy.


Job Details

Lead the analysis of complex structured and unstructured data to drive strategic business decisions.
Develop, implement, and maintain advanced machine learning models, predictive analytics solutions, and custom algorithms.
Partner with business and technical stakeholders to identify opportunities, solve data challenges, and improve operational performance.
Present insights and recommendations to senior leadership, translating complex findings into actionable business strategies.

Requirements
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM field (Master's preferred).
7+ years of professional data science experience, preferably within healthcare, medical informatics, healthcare IT, revenue cycle, or EHR data environments.
Advanced expertise in machine learning, statistical modeling, forecasting, regression analysis, A/B testing, clustering, and predictive analytics.
Strong SQL and programming skills with experience working with large, complex datasets and data science project lifecycles.

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