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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.
Job Responsibility:
Lead development of advanced analytics to enhance CVS Specialty customer service to providers to drive customer loyalty and business growth
Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in CVS Specialty pharmacy
Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analyses, data reports and performance metrics
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms
Requirements:
5+ years of analytic experience independently driving analysis and initiatives with track record of business impact
5+ years of data science experience, preferred in consulting experience
5+ years of experience with advanced machine learning techniques, such as generalized linear models, tree-based models, clustering, natural language processing, and deep learning
Familiarity with GenAI trends and technologies including major LLM provider APIs (OpenAI, Gemini, Anthropic, etc.) as well as archetypal GenAI solutions (RAG, co-pilots, document summarization, etc.)
Prior experience using and managing projects leveraging Cloud technologies (Azure, GCP, AWS, Databricks)
Expert level programming skills in Python, SQL
Ability to engage with senior business stakeholders, execute level communication and influencing skills
Highly motivated individual willing to upskill with an ability to work in an extremely fast paced environment both individually and with a team
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
Nice to have:
Demonstrates strong ability to communicate technical concepts and implications to business partners
Anticipates and prevents problems and roadblocks before they occur
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.
Highest level of attention to detail when working within legal and compliance regulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data
Master’s degree or PhD preferred
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching