CVS Health is a health solutions company that provides integrated healthcare services to its members. They are seeking a Data Scientist to apply mathematical and computational modeling methods to data extraction and manipulation, develop predictive models, and support data-driven solutions in healthcare.
Formulate and apply mathematical and computational modeling methods towards data extraction and manipulation.
Design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business.
Develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes.
Extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity).
Utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
Support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses.
Qualification
Required
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Engineering, Statistics, Mathematics, Analytics, or a related field
two (2) years of experience in the job offered or a related occupation
Supporting large data, analytics, and technology modernization initiatives
Product management in a large, matrixed organization
End-to-end data science lifecycle workflow
Developing data science products
Quantitative analysis techniques, including clustering, regression, and pattern recognition
Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
Machine learning algorithms
Designing data models and solutions for analytical and reporting use cases
Extract/Transform/Load (ETL) processes
Marketing or Data analytics on large data sets in the healthcare, business, or retail sector
Contributing to large scale applications development, data science, or data analytics projects
Relational database concepts
Writing application code and deploying to production
Predicative modeling, and statistical analysis
Machine Learning and NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
R, Python, MySQL, or SQL
Google Cloud Platform (GCP)
CI/CD
Preferred
Benefit
Full range of medical, dental, and vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Fully-paid term life insurance plan
Short-term and long term disability benefits
Numerous well-being programs
Education assistance
Free development courses
CVS store discount
Discount programs with participating partners
Paid Time Off (“PTO”)
Paid holidays
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
