Join the CVS Health Team: Transforming Healthcare with Data Science
At CVS Health, we're dedicated to delivering enhanced human-driven healthcare for a rapidly changing world. Our mission is to bring our heart to every moment of your health, guiding our commitment to providing personalized, convenient, and affordable healthcare solutions. As a leader in the healthcare industry, we're seeking a talented and experienced Full Stack Data Scientist to join our CVS Media Exchange (CMX) team.
About CVS Media Exchange (CMX)
CVS Media Exchange (CMX) is a pioneering advertising platform that leverages CVS Health's vast data, extensive reach, and measurable outcomes to drive results for our partners. Our team is passionate about developing innovative solutions that enable brands to connect with CVS customers, build brand awareness, and drive conversions. As a Full Stack Data Scientist at CMX, you'll play a critical role in shaping our data-driven products and services.
Job Summary
We're seeking an experienced Full Stack Data Scientist to join our Enterprise Digital Analytics (EDA) team. As a key member of our team, you'll apply advanced analytics, experimentation, causal inference, and strategic problem-solving to develop digitally empowered products at CVS Health. You'll work closely with cross-functional teams to understand business problems, design and implement data-driven solutions, and communicate complex results to stakeholders.
Key Responsibilities:
- Develop and deploy predictive models using machine learning and statistical techniques to drive business outcomes
- Collaborate with stakeholders to understand business problems and design data-driven solutions
- Analyze complex data sets to identify trends, opportunities, and challenges
- Develop and maintain dashboards, reports, and visualizations to communicate insights to stakeholders
- Design and execute experiments to measure the impact of marketing campaigns and other business initiatives
- Stay up-to-date with emerging trends and technologies in data science and analytics
Essential Qualifications:
- Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related field
- 3+ years of experience applying modern AI techniques to build predictive models for 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 technical and non-technical stakeholders
- 2+ years of experience preparing data for analysis, working with data engineering teams to create modeling datasets, and evaluating data quality
Preferred Qualifications:
- Experience designing online experiments (A/B testing)
- Strong ability to communicate technical concepts and recommendations to colleagues
- Experience with causal inference and MMM (Marketing Mix Modeling) techniques
- PhD in a related field (Mathematics, Statistics, Computer Science, etc.)
Carrer Growth Opportunities and Learning Benefits
At CVS Health, we're committed to supporting the growth and development of our colleagues. As a Full Stack Data Scientist, you'll have access to:
- Professional development opportunities, including training programs and mentorship
- Collaborative and dynamic work environment
- Opportunities to work on high-impact projects and drive business outcomes
- Competitive salary and benefits package
Work Environment and Company Culture
Our work environment is collaborative, dynamic, and supportive. We value diversity, equity, and inclusion, and strive to create a workplace where everyone feels welcome and empowered to contribute. As a CVS Health colleague, you'll enjoy:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Diverse and inclusive work environment
- Flexible work arrangements, including remote work options
Compensation and Benefits
We offer a comprehensive compensation and benefits package, including:
- Salary range: $106,605 - $206,000 per year
- Bonus, commission, or short-term incentive programs
- Comprehensive clinical, dental, and vision benefits
- 401(k) retirement savings plan and Employee Stock Purchase Plan
- Paid time off and holidays
How to Apply
If you're a motivated and talented Full Stack 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 a cover letter, through our website.
Don't miss this chance to join our team and transform healthcare with data science!
Apply Now