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Senior Data Scientist, Care Intelligence Jobs

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Senior Data Scientist, Care Intelligence
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Seeking a Senior Data Scientist to develop AI-powered healthcare products. You will leverage SQL, Python, and LLMs to build intelligent systems that enhance clinical programs and patient engagement. This role requires 6+ years in data science, including 3+ in healthcare, and a passion for improvi...
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United States
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Salary
160000.00 - 190000.00 USD / Year
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Pomelo Care
Expiration Date
Until further notice
Explore Senior Data Scientist, Care Intelligence jobs and discover a career at the intersection of advanced analytics, artificial intelligence, and transformative healthcare. Professionals in this specialized role leverage data to build intelligent systems that directly improve patient care, enhance clinical workflows, and drive better health outcomes. This is not a traditional analytics position; it is a strategic function focused on creating actionable, AI-driven insights that empower care teams and personalize the patient journey. Typically, a Senior Data Scientist in Care Intelligence is responsible for the end-to-end development of data products within healthcare or wellness ecosystems. Common responsibilities include designing and optimizing predictive models and algorithms that support clinical decision-making, patient engagement, and operational efficiency. They conduct deep exploratory analyses to identify opportunities for AI intervention, such as segmenting patient populations or automating routine tasks. A core part of the role involves establishing robust measurement frameworks, executing A/B tests, and rigorously quantifying the impact of deployed models on both clinical quality and business metrics. These scientists translate complex data findings into clear, actionable strategies for cross-functional teams, including product managers, engineers, and clinical staff. The typical skill set required for these jobs is both broad and deep. Expertise in programming languages like Python and R, along with advanced SQL for data manipulation, is fundamental. A strong statistical foundation and experience with machine learning techniques are essential, with a growing emphasis on prototyping and evaluating Large Language Models (LLMs) and other generative AI tools. Given the sensitive nature of healthcare data, experience with regulatory standards (like HIPAA) and working in regulated industries is a common requirement. Beyond technical prowess, successful candidates demonstrate a passion for healthcare innovation, the ability to solve ambiguous problems, and exceptional communication skills to bridge the gap between technical capabilities and real-world clinical needs. For those seeking impactful Senior Data Scientist, Care Intelligence jobs, this career path offers the unique opportunity to apply cutting-edge data science to directly enhance human health. It is ideal for individuals who want to see their models and analyses translate into tangible improvements in care delivery and patient experiences.

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