Senior Data Scientist - Customer Experience and Channel Innovation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

• 3+ years of academic background or prior experiences in data science, statistics, computer science, artificial intelligence/machine learning, product analytics, marketing analytics, or business analytics 
• Proficiency in programming languages including SQL, Python and PySpark 

• Experience with cloud computing and programming in a cloud platform (e.g. Azure, GCP, AWS) 

• Strong understanding of descriptive and inferential statistics (e.g. sample size calculation, statistical significance determination) 

• Solid understanding of the design of both experimental studies (e.g. A/B testing) and observational studies 

• Working knowledge of supervised and unsupervised machine learning and data engineering 

• Ability to structure problems and influence stakeholders in a data-driven way 

• Experienced in leading complex projects with multiple stakeholders in a cross-matrixed environment 

• Effective communication and presentation skills

• 3 to 5 years of hands-on experiences with building machine learning models including deep-learning models and large language model (LLM)-based systems 
• Hands-on experience applying generative AI/LLMs to analytical or customer engagement use cases (e.g., prompt design, retrieval-augmented approaches, AI-assisted coding tools, agent-based workflows) 

• Experience designing evaluation methods for AI-generated outputs (e.g., scoring rubrics, test sets, human-in-the-loop review) and automated measurement and monitoring 

• Experience building or maintaining data and knowledge layers that support AI use cases (e.g., structured context repositories, retrieval architectures, knowledge graphs) 

• Familiarity with conversational AI channels (voice, SMS, chat) and messaging experimentation 

• Familiarity with healthcare and pharmacy data, including protected health information (PHI) handling, HIPAA, and health information exchange data (e.g., HIE/QHIN), and with customer communications compliance such as messaging opt-out requirements 

• Hands-on experiences with data engineering pipeline, analysis of algorithms, optimization of complex codes and code automation 

• Experiences with data visualization and business intelligence
• Doctorate Preferred

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.