**Experienced Full Stack Data Scientist – Patient Safety Analytics and AI-Driven Insights for Retail Pharmacy Operations**

Are you a highly motivated and experienced data scientist looking to make a meaningful impact in the retail pharmacy industry? Do you have a passion for driving business growth through data-driven insights and AI-driven solutions? If so, we invite you to join our team as an Experienced Full Stack Data Scientist – Patient Safety Analytics and AI-Driven Insights for Retail Pharmacy Operations at CVS Health. **About CVS Health** At CVS Health, we are committed to making a positive impact on the lives of our patients, customers, and employees. Our purpose is to carry our heart to every moment of health, and we strive to deliver innovative solutions that improve health outcomes, reduce costs, and enhance the overall patient experience. With a strong focus on data-driven decision making, we are seeking a talented data scientist to join our team and help drive our mission forward. **Job Summary** As an Experienced Full Stack Data Scientist – Patient Safety Analytics and AI-Driven Insights for Retail Pharmacy Operations, you will play a critical role in developing and implementing data-driven solutions that improve patient safety and drive business growth. You will work closely with cross-functional teams to design, develop, and deploy AI-driven insights and analytics solutions that inform business decisions and drive operational excellence. Your expertise in data science, machine learning, and AI will enable you to drive business growth, improve patient outcomes, and enhance the overall patient experience. **Key Responsibilities** * Lead the development and implementation of data-driven solutions that improve patient safety and drive business growth * Design, develop, and deploy AI-driven insights and analytics solutions that inform business decisions and drive operational excellence * Collaborate with cross-functional teams to identify business needs and develop solutions that meet those needs * Develop and maintain complex data models, algorithms, and machine learning models to drive business insights and recommendations * Work with data engineers to design and implement data pipelines and architectures that support business needs * Develop and maintain data visualizations and reports to communicate insights and recommendations to stakeholders * Stay up-to-date with emerging trends and technologies in data science, machine learning, and AI, and apply that knowledge to drive business growth and improve patient outcomes **Essential Qualifications** * Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering) * 8+ years of experience in data science, machine learning, or a related field * Strong expertise in programming languages such as Python, R, or SQL * Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn * Strong understanding of data visualization tools and techniques * Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams **Preferred Qualifications** * Master's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering) * 10+ years of experience in data science, machine learning, or a related field * Experience with deep learning frameworks such as Keras or Caffe * Strong understanding of natural language processing (NLP) and text analysis techniques * Experience with data governance and data quality frameworks * Strong expertise in data engineering and data architecture **Skills and Competencies** * Strong analytical and problem-solving skills, with the ability to drive business growth and improve patient outcomes * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams * Strong expertise in data science, machine learning, and AI, with the ability to design, develop, and deploy complex data models and algorithms * Strong understanding of data visualization tools and techniques, with the ability to communicate insights and recommendations to stakeholders * Strong expertise in cloud-based data platforms, with the ability to design and implement data pipelines and architectures that support business needs * Strong understanding of data governance and data quality frameworks, with the ability to ensure data quality and integrity **Career Growth Opportunities and Learning Benefits** * Opportunities for career growth and advancement in a dynamic and growing organization * Access to training and development programs that support professional growth and development * Opportunities to work on high-impact projects that drive business growth and improve patient outcomes * Collaborative and inclusive work environment that supports diversity, equity, and inclusion * Competitive compensation and benefits package, including health insurance, retirement savings plan, and paid time off **Work Environment and Company Culture** * Collaborative and inclusive work environment that supports diversity, equity, and inclusion * Dynamic and growing organization with a strong focus on innovation and entrepreneurship * Opportunities to work on high-impact projects that drive business growth and improve patient outcomes * Competitive compensation and benefits package, including health insurance, retirement savings plan, and paid time off * Flexible work arrangements, including remote work options and flexible hours **Compensation, Perks, and Benefits** * Competitive compensation package, including base salary and bonus potential * Comprehensive benefits package, including health insurance, retirement savings plan, and paid time off * Flexible work arrangements, including remote work options and flexible hours * Opportunities for career growth and advancement in a dynamic and growing organization * Access to training and development programs that support professional growth and development * Collaborative and inclusive work environment that supports diversity, equity, and inclusion **How to Apply** If you are a motivated and experienced data scientist looking to make a meaningful impact in the retail pharmacy industry, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! **Required Documents** * Resume * Cover letter * References (optional) **How to Apply Online** * Click on the link below to apply online * Fill out the application form and attach your resume and cover letter * Submit your application for review Apply Job! Apply for this job