Note: The job is a remote job and is open to candidates in USA. CVS Health is a company dedicated to building a world of health around individuals, providing a connected and compassionate health experience. They are seeking a Sr. Data Scientist to develop and implement analytics applications and models that transform data into meaningful information, utilizing advanced algorithms and machine learning to inform solutions for various health metrics and customer engagement. The role involves designing data solutions, developing predictive models, and visualizing data to solve complex business problems.

Responsibilities

• Develop and implement analytics applications and models to transform data into meaningful information
• 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, predict outcomes, and provide usable information on health metrics and potential future outcomes
• Utilize data mining, data modeling, natural language processing, and machine learning to 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 data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems
• Visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics
• Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

Skills

• Master's degree (or foreign equivalent) in Computer Science, Data Science, Biostatistics, Mathematics, Analytics, or a related field
• Completion of a university-level course, research project, internship, or thesis in each of the following: Contributing to large-scale applications development, data science, or data analytics projects
• Statistical analysis and predictive modeling
• Programming in R, Hadoop, or Python
• SAS and SQL programming languages
• Visualization tools, including PowerBI or Tableau
• NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
• Feature engineering model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
• Machine learning algorithms and operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability and orchestration
• Developing data science products

Benefits

• This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
• This position also includes an award target in the company’s equity award program.
• 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.
• 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.
• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility

Company Overview

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