[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. CVS Health is committed to building a world of health around every individual, and they are seeking a Data Scientist to develop and implement analytics applications and models. The role involves designing data solutions, developing predictive models, and utilizing advanced data techniques to extract insights that inform healthcare decisions.

Responsibilities

• 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, Business Analytics, Statistics, Mathematics, or a related field
• One (1) year of experience in the job offered or related occupation
• One (1) year of experience in Programming in Java, Python, or R
• One (1) year of experience in XML, JSON, HTML, CSS, or JavaScript
• One (1) year of experience in Oracle
• One (1) year of experience in MySQL
• One (1) year of experience in SAS or SQL programming languages
• One (1) year of experience in Visualization tools, including PowerBI
• One (1) year of experience in Machine learning, statistical analysis and predictive modeling
• One (1) year of experience in NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
• One (1) year of experience in Contributing to largescale applications development, data science, or data analytics projects
• One (1) year of experience in Data analytics on large data sets in healthcare, business, or retail sector
• One (1) year of experience in Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
• One (1) year of experience in Quantitative analysis techniques, including clustering, regression, and pattern recognition

Benefits

• Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
• 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
• An Employee Stock Purchase Plan is also available for eligible employees
• The Company provides a fully-paid term life insurance plan to eligible employees
• Short-term and long term disability benefits
• CVS Health also offers numerous well-being programs
• Education assistance
• Free development courses
• A CVS store discount
• Discount programs with participating partners
• Paid Time Off (“PTO”) or vacation pay
• 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
• A comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility

Company Overview

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