Data Scientist - Consumer Analytics Next Best Actions (NBA) Team

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

As a Data Scientist within the Consumer Analytics, Next Best Action (NBA) team, you will be working on personalized interventions, designed to change Aetna member’s behavior and improve their health outcomes. This is a hands-on data scientist role, with combination of data engineering experience, experiment design, and data analysis (technical coding, including using machine learning methods). Member outreach strategies are developed and implemented through a cross-functional collaboration between data scientists, decision scientists, marketing, data engineering, and internal business partners. This role will be focused on iteratively solving for business problems by designing and implementing scalable data science solutions.

If you have a strong background in data analytics, a keen eye for identifying business opportunities through data, and the technical expertise to build scalable, actionable solutions, we’d love to hear from you. Join us in making a difference by turning data into strategic insights that drive real-world impact.

Key Responsibilities:

• Lead the identification and deep analysis of business problems to assess the feasibility and impact of analytics and data science solutions tailored to our needs.
• Explore, assess, and validate diverse data sources for analytics initiatives, ensuring data quality and relevance for business problem-solving.
• Develop, implement, and maintain data-driven solutions that address specific business challenges, optimizing for member engagement and retention.
• Collaborate with cross-functional teams to design data-informed campaigns, and effectively communicate results and insights to internal and external stakeholders.
• Use statistical techniques to measure RCT campaigns and make recommendations to leadership
• Establish, monitor, and report on key performance indicators (KPIs) aligned with strategic and financial goals, enabling clear visibility into the success of analytics initiatives.
• Formulate and propose actionable recommendations for further analytics development, fostering data-driven discussions within the team.
• Coordinate with team members to ensure seamless integration of analytics solutions into broader business initiatives, actively communicating status updates and adjustments as needed.
• Conduct independent research to support solution development, proactively identifying resources and solutions while collaborating as necessary to address complex challenges.
• Conduct thorough data exploration and maintain detailed documentation to support the scalability, transparency, and reproducibility of analytics initiatives.
• Use an iterative approach to build analytics solutions, starting with fundamental models and progressively enhancing complexity based on observed impact, balancing effort with outcome.

Required Qualifications

• 1+ years of relevant analytic experience

• 1+ years of experience in Python, SQL

• 1+ years of experience with experimental design and supervised/unsupervised machine learning approaches for regression and classification tasks

Preferred Qualifications

• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

• Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

• Demonstrates strong ability to communicate technical concepts and implications to business partners

• Anticipates and prevents problems and roadblocks before they occur

• Attention to detail and consistent delivery of high quality work

• Experience with using cloud-based tools (Google, AWS, Azure) for analytics and model development

• Healthcare sector experience preferred

• Experience with deploying models and maintaining models in production using ML Ops workflows

Education Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics,