
10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
🔥 0 minutes ago
🌲 North Carolina – Remote
💵 $83.4k - $166.9k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
👻 Ghost score 0%
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10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
• Lead and participate in the development, validation, and delivery of advanced analytics, statistical models, machine learning solutions, and reporting tools • Design and implement data-driven solutions using data science, predictive modeling, natural language processing, and visualization technologies • Solve complex business problems and improve patient care outcomes • Optimize healthcare operations and enable evidence-based decision making • Collaborate with business leaders, clinicians, IT teams, and other stakeholders • Translate data into actionable insights and drive strategic initiatives
• 5-7 years of relevant experience in data science, analytics, statistical modeling, or a related field • Experience designing, developing, and implementing predictive models, machine learning solutions, and analytical frameworks • Proficiency in data-oriented programming languages and data visualization tools • Experience working with large, complex datasets and integrating data from multiple sources • Strong analytical, problem-solving, and decision-making skills • Ability to communicate complex analytical findings to technical and non-technical audiences • Experience developing dashboards, metrics, and performance reporting solutions • Strong collaboration and teamwork skills across functional areas • Ability to plan, execute, deliver, and support data-driven initiatives • Knowledge of data governance principles, data quality standards, and analytical best practices • Experience applying advanced analytics and machine learning techniques within healthcare, payer, provider, or clinical environments • Knowledge of natural language processing (NLP), data mining, and predictive analytics methodologies • Experience improving healthcare quality, operational efficiency, or patient outcomes through data science solutions • Experience presenting analytical results and serving as a consultative partner to business and executive stakeholders • Familiarity with analytics, visualization, and data engineering tools and technologies • Experience mentoring team members and promoting data science best practices • Commitment to continuous learning and staying current with emerging data science technologies and methodologies • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Healthcare Analytics, Engineering, or a related quantitative field preferred • Equivalent combination of education, specialized training, and relevant professional experience may be considered • Advanced degree (Master's or Ph.D.) preferred but not required
• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program in addition to base pay
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