Data Science Analyst at CVS Health New York, NY

Data Science Analyst job at CVS Health. New York, NY.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.Start Date: Can vary depending on candidate availabilityLocations: CVS Health follows a hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Various locations available and will be confirmed during conversations with the recruiter.Staring Salary: $115,000• Work visa sponsorship is available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.Who we areWe are Americas leading health solutions company, delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as:• Customer experience and behavior change• Clinical trial recruitment and engagement• Digital health• Provider efficiency and effectiveness• Patient safety• Health care cost savings• Clinical services/care management• Fraud, waste, and abuse detection/preventionWe are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care….one line of code at a time.What you will do• Work with analytics teams and our business partners to understand their goals and objectives• Use programming skills, predictive/statistical modeling and analysis to analyze large volumes of structured and unstructured data, determine analytical approaches, and evaluate potential outcomes• Generate insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners• Help design programs/campaigns to improve the quality of health care, lower costs, and help our members and customers achieve their best healthRequired Qualifications• Meet educational requirements (see Education section)• Knowledge of data science techniques including statistical analysis and modeling• Experience in R or Python and SQLPreferred Qualifications• Excellent problem solving and critical thinking ability• Strong written and verbal communication skills• Ability to clearly present technical concepts and implications to both technical and non-technical audiencesEducation• Currently pursuing a Bachelor’s degree program with an expected graduation date between December 2024 and August 2025• Preferred majors include Statistics, Biostatistics, Mathematics, Data Science, Health Data SciencePay RangeThe typical pay range for this role is:$74,160.00 - $148,320.00This 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.In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.For more detailed information on available benefits, please visit Benefits | CVS HealthWe anticipate the application window for this opening will close on: 09/06/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.