Data Scientist - Healthcare Optimization

As a Data Scientist, Healthcare Optimization at CVS Health, you will be joining a passionate and driven team that is dedicated to optimizing healthcare through data insights. You will have the opportunity to use your analytical and problem-solving skills to develop and evaluate predictive models, uncover trends and patterns, and provide meaningful insights to stakeholders. To be successful in this role, you should have a solid understanding of data science and healthcare, excellent communication and collaboration skills, and the ability to work effectively with stakeholders across the organization. The ideal candidate will also have a passion for healthcare and a strong drive for innovation. If this sounds like the opportunity you've been looking for, we'd love to hear from you! Required Qualifications:- Bachelor’s degree in a quantitative field such as Mathematics, Computer Science, Statistics, or a related field- Experience working with large datasets, analyzing data and extracting meaningful insights- Experience in predictive modeling, machine learning, and data mining- Experience in healthcare analytics, operations research, or a related field- Knowledge of statistical programming languages such as R and/or Python- Ability to communicate results to stakeholders in both technical and non-technical terms- Ability to work independently and collaboratively in a fast-paced environment

According to JobzMall, the average salary range for a Data Scientist - Healthcare Optimization in New York, NY, USA is $106,000 - $148,000 per year.

CVS Health Corp. engages in the provision of health care services. It operates trough the following segments: Pharmacy Services, Retail or Long Term Care, and Corporate. The Pharmacy Services segment offers pharmacy benefit management solutions. The Retail or Long Term Care segment includes selling of prescription drugs and assortment of general merchandise. The Corporate segment involves in providing management and administrative services.