Senior Data Scientist - CVS Media Exchange: Transforming Healthcare through Data-Driven Insights and Innovation

Unlock Your Potential at CVS Health: Where Data Science Meets Healthcare Innovation

At CVS Health, we're on a mission to redefine the healthcare landscape by harnessing the power of data science and technology. As a Senior Data Scientist in our CVS Media Exchange team, you'll play a pivotal role in driving business growth, enhancing customer experiences, and improving healthcare outcomes through data-driven insights and innovative solutions.

About Us: CVS Health and CVS Media Exchange

CVS Health is a leading healthcare company that is committed to delivering personalized, convenient, and affordable healthcare services. Our CVS Media Exchange (CMX) team is at the forefront of this mission, leveraging data analytics, machine learning, and strategic problem-solving to drive measurable results for our clients and stakeholders. CMX is dedicated to developing full-channel promotional solutions that capitalize on CVS's extensive reach and data assets, helping businesses build brand awareness, engage with customers, and drive conversions.

Job Summary: Senior Data Scientist - CVS Media Exchange

As a Senior Data Scientist in CMX, you'll be responsible for applying advanced analytics, experimentation, causal inference, and strategic problem-solving to drive business growth and innovation. You'll work closely with cross-functional teams to understand their concerns and goals, develop predictive models and data-driven solutions, and communicate complex insights to both technical and non-technical stakeholders.

Key Responsibilities:

• Develop and apply advanced statistical models, machine learning algorithms, and data analytics techniques to drive business insights and solutions.
• Collaborate with stakeholders to understand their concerns and goals, and develop data-driven solutions to address them.
• Design and execute experiments (A/B testing), measure and optimize results, and leverage techniques like causal inference and MMM to enhance test outcomes.
• Develop personalization capabilities using machine learning to target specific audiences for relevant campaigns.
• Create and present data-driven insights and recommendations to both technical and non-technical stakeholders, including senior leaders.
• Communicate complex data insights and technical concepts to non-technical stakeholders, and collaborate with project partners and senior management to drive business outcomes.
• Stay up-to-date with industry trends, emerging technologies, and best practices in data science and analytics.

Essential Qualifications:

• 3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems.
• 3+ years of experience using Python and SQL to analyze and interpret complex data sets.
• 2+ years of experience extracting meaningful insights from complex models and presenting results to business audiences, including technical, non-technical, and senior leaders.
• 2+ years of experience preparing data for analysis, working with data engineering teams to create modeling datasets, and performing feature engineering.
• 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large datasets from multiple data 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 tests (A/B testing) and analyzing results.
• Strong ability to communicate technical concepts and recommendations to colleagues and stakeholders.
• Ability to work effectively and confidently with colleagues, project partners, and senior management.
• Proactive approach to anticipating and preventing issues and roadblocks.
• Proficiency in multiple areas of mathematical analysis techniques, machine learning, statistical analysis, experimental design, and predictive modeling, with deep specialization in certain areas.
• PhD in related discipline.

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.
• Fully paid term life insurance and short-term and long-term disability benefits.
• Various wellness programs, education assistance, and free improvement courses.
• CVS store discounts and discount programs with participating partners.
• Paid time off (PTO) and holidays throughout the calendar year.

Our Culture and Work Environment:

At CVS Health, we're committed to creating a culture that is inclusive, diverse, and supportive. We believe in empowering our employees to drive business outcomes and make a positive impact on our customers and communities. Our CVS Media Exchange team is a dynamic and collaborative group that values innovation, creativity, and data-driven decision-making.

Career Growth and Development:

As a Senior Data Scientist at CVS Health, you'll have opportunities to grow and develop your skills in a dynamic and rapidly evolving field. You'll work on complex and challenging projects, collaborate with cross-functional teams, and develop your expertise in data science and analytics. Our company culture encourages continuous learning, innovation, and professional growth, ensuring that you'll stay ahead of the curve in your career.

Why Join Us?

If you're a motivated and talented data scientist looking to make a meaningful impact in the healthcare industry, we invite you to join our team at CVS Health. As a Senior Data Scientist in our CVS Media Exchange team, you'll have the opportunity to drive business growth, enhance customer experiences, and improve healthcare outcomes through data-driven insights and innovative solutions. Apply now to take the first step in your journey with us!

To learn more about our company culture, benefits, and career opportunities, please visit our website: jobs.CVSHealth.com/benefits

CVS Health is an equal opportunity employer committed to diversity, equity, and inclusion. We welcome applicants from diverse backgrounds and perspectives.

Don't miss this opportunity to join our team and make a difference in the healthcare industry. Apply now!