{"schemaVersion":"jobsearcher.job.v1","id":"d1ee63dcb9e48d0f65b0e4fa","url":"https://jobsearcher.com/jobs/d1ee63dcb9e48d0f65b0e4fa","canonicalUrl":"https://jobsearcher.com/jobs/d1ee63dcb9e48d0f65b0e4fa","title":"Lead Data Scientist","description":"Experience: Entry Level\nSalary: $110,000 - $135,000 per year\n\nJob Details\n-\n\nLead the analysis of complex structured and unstructured data to drive strategic business decisions.\nDevelop, implement, and maintain advanced machine learning models, predictive analytics solutions, and custom algorithms.\nPartner with business and technical stakeholders to identify opportunities, solve data challenges, and improve operational performance.\nPresent insights and recommendations to senior leadership, translating complex findings into actionable business strategies.\n\nRequirements\nBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM field (Master's preferred).\n7+ years of professional data science experience, preferably within healthcare, medical informatics, healthcare IT, revenue cycle, or EHR data environments.\nAdvanced expertise in machine learning, statistical modeling, forecasting, regression analysis, A/B testing, clustering, and predictive analytics.\nStrong SQL and programming skills with experience working with large, complex datasets and data science project lifecycles.\n\nA bit about us:\n-\n\nWe 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.\n\nWhy join us?\n-\n\nWork on high-impact projects that directly influence healthcare operations and patient outcomes.\nLead cutting-edge machine learning and predictive analytics initiatives using large, complex datasets.\nEnjoy remote flexibility within approved states while collaborating with cross-functional teams.\nMentor and develop other data science professionals while expanding your leadership experience.\nCompetitive compensation, strong organizational support, and opportunities to shape enterprise-wide data strategy.\n\n#scientific #machine-learning #predictive-modeling #a-b-testing #statistical-analysis #regression-analysis #time-series-forecasting #tier4","company":"Leoforce","rawCompany":"leoforce","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-04T10:32:47.636Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist","description":"Experience: Entry Level\nSalary: $110,000 - $135,000 per year\n\nJob Details\n-\n\nLead the analysis of complex structured and unstructured data to drive strategic business decisions.\nDevelop, implement, and maintain advanced machine learning models, predictive analytics solutions, and custom algorithms.\nPartner with business and technical stakeholders to identify opportunities, solve data challenges, and improve operational performance.\nPresent insights and recommendations to senior leadership, translating complex findings into actionable business strategies.\n\nRequirements\nBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM field (Master's preferred).\n7+ years of professional data science experience, preferably within healthcare, medical informatics, healthcare IT, revenue cycle, or EHR data environments.\nAdvanced expertise in machine learning, statistical modeling, forecasting, regression analysis, A/B testing, clustering, and predictive analytics.\nStrong SQL and programming skills with experience working with large, complex datasets and data science project lifecycles.\n\nA bit about us:\n-\n\nWe 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.\n\nWhy join us?\n-\n\nWork on high-impact projects that directly influence healthcare operations and patient outcomes.\nLead cutting-edge machine learning and predictive analytics initiatives using large, complex datasets.\nEnjoy remote flexibility within approved states while collaborating with cross-functional teams.\nMentor and develop other data science professionals while expanding your leadership experience.\nCompetitive compensation, strong organizational support, and opportunities to shape enterprise-wide data strategy.\n\n#scientific #machine-learning #predictive-modeling #a-b-testing #statistical-analysis #regression-analysis #time-series-forecasting #tier4","datePosted":"2026-09-04T10:32:47.636Z","dateModified":"2026-09-04T10:32:47.636Z","hiringOrganization":{"@type":"Organization","name":"Leoforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d1ee63dcb9e48d0f65b0e4fa"},"url":"https://jobsearcher.com/jobs/d1ee63dcb9e48d0f65b0e4fa"}}