Senior Data Scientist - CVS Media Exchange: Leading Data-Driven Solutions for Healthcare Innovation

Join the CVS Health Team: Transforming Healthcare through Data Science and Innovation At CVS Health, we are dedicated to delivering enhanced, human-centered healthcare for a rapidly changing world. Our mission, "Carrying our heart to every moment of your health," guides our commitment to providing innovative solutions that make healthcare more personal, convenient, and affordable. As a leader in the healthcare industry, CVS Health is seeking talented professionals to join our team and drive impactful change. About CVS Media Exchange (CMX) CVS Media Exchange (CMX) is a pioneering advertising platform that leverages CVS Health's extensive data, broad reach, and measurable outcomes to deliver targeted solutions for our partners. Our mission is to drive quantifiable results for providers, dealers, stores, GMs, brand sponsors, and offices. By joining the CMX team, you will have the opportunity to work with a talented group of professionals who are passionate about using data to drive business growth and improve healthcare outcomes. Job Summary We are seeking a highly skilled Senior Data Scientist to join our Enterprise Analytics (EDA) team at CVS Media Exchange. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics, experimentation, causal inference, and strategic problem-solving to drive business growth and inform decision-making. This is a unique opportunity to collaborate with cross-functional teams, leverage large datasets, and develop innovative solutions that transform the healthcare industry. Key Responsibilities Develop and apply advanced analytical techniques, machine learning models, and statistical methods to drive business outcomes and inform strategic decisions. Collaborate with stakeholders to understand business problems, design solutions, and communicate insights through data visualization and storytelling. Lead the development and implementation of predictive models, causal inference, and experimentation design to drive business growth and improve customer engagement. Work with data engineers to design and implement data pipelines, data quality checks, and data visualization tools. Communicate complex technical concepts and results to both technical and non-technical stakeholders, including senior leaders and business partners. Stay up-to-date with emerging trends and technologies in data science, machine learning, and analytics, and apply this knowledge to drive innovation and improvement. Essential Qualifications Bachelor's degree or equivalent experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related field. 3+ years of experience applying modern AI techniques to build predictive models for both classification and regression problems. 3+ years of experience using Python and SQL. 2+ years of experience extracting insights from complex data sets and communicating results to business stakeholders. 2+ years of experience preparing data for analysis, working with data engineering teams to create modeling datasets, and evaluating data quality. Strong programming skills in languages such as Python, R, or SQL. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Preferred Qualifications Graduate degree or equivalent experience in a related field. PhD in a related field is preferred. Experience designing online experiments (A/B testing). Strong ability to convey technical ideas and recommendations to colleagues. Capacity to communicate effectively and confidently with colleagues, project teams, and senior management. Ability to anticipate and prevent issues and detours before they occur. Proficiency in multiple areas of mathematical analysis techniques, AI, statistical analysis, experiment design, and predictive modeling. Career Growth Opportunities and Learning Benefits At CVS Health, we are committed to the growth and development of our employees. We offer a range of learning opportunities, including: Professional development programs and training. Mentorship and coaching. Leadership development programs. Tuition reimbursement and education assistance. Free development courses and CVS store discounts. Work Environment and Company Culture CVS Health is a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our company culture is built on the principles of respect, integrity, and accountability. We offer: A collaborative and innovative work environment. A flexible work schedule, including remote work options. A comprehensive benefits package, including medical, dental, and vision coverage. A 401(k) retirement savings plan and employee stock purchase plan. Paid time off and holidays. Compensation and Benefits The salary range for this position is $106,605.00 - $206,000.00 per year, depending on experience, education, and location. In addition to your salary, you will be eligible for: A CVS Health bonus, commission, or short-term incentive program. A comprehensive benefits package, including medical, dental, and vision coverage. A 401(k) retirement savings plan and employee stock purchase plan. Paid time off and holidays. How to Apply If you are a motivated and talented data scientist looking to make a meaningful impact in the healthcare industry, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and cover letter, through our website. Apply Now Equal Employment Opportunity CVS Health is committed to hiring, promoting, and retaining individuals with disabilities. We offer reasonable accommodations to qualified individuals with disabilities and provide equal access to the benefits and privileges of employment. If you have a disability and require a reasonable accommodation, please contact us at [email protected] . We Look Forward to Hearing from You CVS Health is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion. 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