CVS Health is looking to transform health care by building a world of health around every consumer, and this Senior Data Scientist role aims to shape and execute a customer-centric analytical strategy across various health care business opportunities.
Requirements
- 3+ years of experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning
- 3+ years of experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling
- Experience with experimentation and observational causal inference to drive decision making
- Experience with development and evaluation of large language models
- Experience designing and deploying scalable machine learning models in production environments
- Demonstrated proficiency in most areas of mathematical analysis methods, machine learning, statistical analysis, and predictive modeling and in-depth specialization in some areas
Responsibilities
- Develop a deep understanding of the end-to-end customer journey through data analysis. Uncover friction points, drop-off stages, and high-value engagement opportunities across Medicare products.
- Develop and deploy machine learning and statistical models (deep learning, causal inference, regression) that optimize next best actions at each stage of the customer journey, tailored to individual behaviors and signals.
- Build scalable systems and frameworks utilizing Cloud platforms to continuously monitor, evaluate, and improve customer journey activation performance across marketing, sales channels, and more.
- Utilize generative AI and LLMs for scaling, simplifying, and creating new business opportunities in current processes.
- Leverage tools to conduct deep-dive analyses, including customer segmentation and sales funnel diagnostics.
- Create compelling visualizations and wield data storytelling to communicate insights and recommendations to cross-functional stakeholders.
- Collaborate with Strategy, Marketing, Operations, and peer Data Science teams to translate analytical findings into targeted, actionable solutions.
Other
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master’s degree or PhD preferred
- 3+ years of industry experience demonstrating the ability to present technical concepts to non-technical audiences and convey clear insights
- Ability to work full-time (40 hours/week)
- Ability to participate in a CVS Health bonus, commission or short-term incentive program
