**Experienced Full Stack Data Scientist – Retail Strategic Health Analytics at arenaflex**
At arenaflex, we're dedicated to revolutionizing the healthcare industry by providing innovative solutions that make healthcare more personal, convenient, and affordable. Our mission is to bring our heart to every moment of your health, and we're looking for talented individuals to join our team of passionate professionals. **Job Summary:** We're seeking an experienced Full Stack Data Scientist to lead our analytics efforts in retail strategic health analytics. As a key member of our team, you'll collaborate with business partners to develop analytics solutions that drive business priorities. You'll own and manage an analytics workstream, leading a team of analysts and data scientists to build end-to-end analytical products. Your expertise in algorithms, predictive modeling, and statistical analysis will help us uncover insights and propose solutions to complex business problems. **Responsibilities:** * Collaborate with business partners to develop analytics solutions that drive business priorities * Own and manage an analytics workstream, leading a team of analysts and data scientists to build end-to-end analytical products * Use strong understanding in algorithms and predictive models to suggest approaches, investigate issues, discover patterns, and propose solutions * Perform analyses of structured and unstructured data to solve multiple and/or complex business issues using advanced statistical methods and mathematical analyses * Develop and participate in presentations and consultations to present and discuss analytics results and solutions * Use strong programming skills to explore, analyze, and interpret large volumes of data in various forms **Requirements:** * 3 years of relevant analytic experience * Experience programming using R or Python * Experience in SQL * Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related field * Master's degree or PhD preferred **Preferred Qualifications:** * Demonstrates strong ability to communicate technical standards and implications to business partners * Anticipates and prevents issues and roadblocks before they occur * Strong understanding of advanced analytics tools and languages to research large data sets from multiple data sources * Demonstrates expertise in most areas of mathematical evaluation methods, system learning, statistical analyses, and predictive modeling, with in-depth specialization in some areas **Compensation and Benefits:** * Competitive salary range: $35.00 - $45.00 per hour * Eligible for a CVS Health bonus, fee, or short-term incentive program in addition to the base pay range * Includes an award goal in the company's equity award program * Comprehensive benefits package, including medical, dental, and vision benefits * Eligible for the company's 401(k) retirement savings plan and Employee Stock Purchase Plan * Fully-paid term life insurance plan for eligible employees * Short-term and long-term disability benefits * Wellness programs, training assistance, free development courses, CVS store discount, and discount programs with participating partners * Paid Time Off (PTO) or holiday pay, as well as paid vacations during the calendar year, in accordance with applicable state law and company policies **Work Environment and Culture:** At arenaflex, we're committed to creating a work environment that's inclusive, diverse, and supportive. Our Heart at Work Behaviors empower our employees to take ownership of their role in transforming our culture and accelerating our potential to innovate and deliver solutions that make healthcare more personal, convenient, and affordable. We're passionate about making a difference in the lives of our customers and communities, and we're looking for talented individuals who share our vision. **How to Apply:** If you're a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We're excited to review your application and look forward to the opportunity to discuss this role further. Apply for this job