Senior Data Scientist - CVS Media Exchange: Driving Business Growth through Advanced Analytics and AI

Join the CVS Health Team and Make a Difference in Healthcare

At CVS Health, we're on a mission to transform the healthcare landscape by making it more personalized, convenient, and affordable. As a leading healthcare company, we're committed to delivering innovative solutions that improve the lives of our customers and communities. We're seeking a highly skilled Senior Data Scientist to join our CVS Media Exchange (CMX) team, where you'll play a critical role in driving business growth through advanced analytics and AI.

About CVS Media Exchange (CMX)

CVS Media Exchange is a cutting-edge platform that leverages data analytics, machine learning, and digital marketing to drive measurable results for our clients. As a Senior Data Scientist on the CMX team, you'll work closely with cross-functional teams to develop and implement data-driven solutions that enhance customer engagement, drive business growth, and improve overall healthcare outcomes.

Key Responsibilities

• Develop and apply advanced statistical models and machine learning algorithms to drive business insights and recommendations
• Collaborate with stakeholders to understand business needs and develop data-driven solutions to address them
• Analyze customer journeys to identify opportunities for improvement and develop strategies to drive adoption, engagement, retention, and conversion
• Design and execute online experiments (A/B testing) to measure and optimize business outcomes
• Apply causal inference and marketing mix modeling (MMM) techniques to optimize marketing campaigns and drive business growth
• Develop and maintain complex data visualizations and reports to communicate insights and recommendations to stakeholders
• Partner with data engineering teams to design and implement data pipelines and architectures that support business needs
• Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to drive innovation and improvement within the organization

Essential Qualifications

• 3+ years of experience applying modern machine learning techniques to build predictive models for classification and regression problems
• 3+ years of experience using Python and SQL to analyze and manipulate large datasets
• 2+ years of experience extracting insights from complex models and presenting results to business stakeholders
• 2+ years of experience preparing data for analysis, working with data engineering teams to design and implement data pipelines
• 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large datasets from multiple sources
• 2+ years of experience in experimental design and supervised/unsupervised machine learning approaches
• Graduate degree or equivalent work experience in Math, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

Preferred Qualifications

• Experience designing online experiments (A/B testing)
• Strong ability to communicate technical concepts and recommendations to non-technical stakeholders
• Ability to work effectively and confidently with cross-functional teams, project stakeholders, and senior leadership
• Ability to anticipate and prevent issues and roadblocks before they occur
• Proficiency in multiple areas of mathematical analysis techniques, machine learning, statistical analysis, experimental design, and predictive modeling
• PhD in related discipline preferred

What We Offer

At CVS Health, we offer a comprehensive benefits package that includes:

• Competitive salary and bonus structure
• Comprehensive medical, dental, and vision benefits
• 401(k) retirement savings plan and Employee Stock Purchase Plan
• Paid time off and holidays
• Opportunities for career growth and professional development
• A dynamic and supportive work environment that values diversity and inclusion

Our Culture

At CVS Health, we're committed to creating a culture that is inclusive, innovative, and customer-centric. We value diversity and believe that a diverse workforce is essential to driving business success. We're proud to be an equal opportunity employer and are committed to providing a work environment that is free from discrimination and harassment.

Why Join CVS Health?

By joining CVS Health, you'll become part of a team that is passionate about improving the lives of our customers and communities. You'll have the opportunity to work on complex and challenging projects, develop your skills and expertise, and make a meaningful contribution to the healthcare industry. If you're a motivated and talented professional looking to make a difference, we encourage you to apply for this exciting opportunity.

How to Apply

If you're interested in this opportunity, please submit your application, including your resume and a cover letter, through our online application portal. We can't wait to hear from you!

CVS Health is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to providing a work environment that is inclusive and respectful of all employees, and we prohibit discrimination on the basis of race, color, national origin, gender, sexual orientation, age, disability, or any other protected characteristic.

As a condition of employment, CVS Health requires certain employees to be fully vaccinated against COVID-19, unless they are entitled to a reasonable accommodation under the law. If you're offered a position, you'll be required to provide proof of vaccination or request a reasonable accommodation within the first 10 days of your employment.