Senior Data Scientist

CVS Health•Work At Home-New Jersey, NJ

1d•$101,970 - $203,940

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Working on developing AI-powered tools and analytics for our Call Centers.

Requirements

Working knowledge of problem solving and decision making skills

Nice To Haves

Bachelor's degree preferred/specialized training/relevant professional qualification.

Responsibilities

Implements systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
Assists in the deployment of data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
Designs complex data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data.
Applies in-depth data science and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
Develops analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance.
Communicates with internal and external stakeholders, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions.
Coordinates the delivery of presentations and consultative services to existing and prospective constituents that outline data analytics results and solutions.
Works to develop professional knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages.
Ensures departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.