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

at  CVS Health

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. As a data scientist you will: Develop and/or use algorithms and statistical predictive models to identify members and determine analytical approaches, Use statistical techniques to measure RCT campaigns and make recommendations to leadership, Perform analyses of structured and unstructured data to solve multiple and/or complex business problems, utilizing advanced statistical techniques, Collaborate with internal technical SMEs to enhance analytical solutions with new data Collaborate with internal and external business partners.

REQUIRED QUALIFICATIONS

• 2+ years of relevant analytic experience
• 2+ 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, Economics, Physics, Engineering, or related discipline. Master’s degree preferred

Please refer the Job description for details