Data Scientist - Payment Optimization Analytics at CVS Health
New York, NY 10013, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Jul, 25

Salary

0.0

Posted On

11 Apr, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Analytics, Aws, Mathematics, Economics, Healthcare Industry, Cloud, Data Modeling, Azure, Statistics, Computer Science, Python, Communication Skills, Physics

Industry

Information Technology/IT

Description

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY

It’s a new day in healthcare!

  • Looking for opportunities to use cutting edge technologies analyzing petabytes of data on Google Cloud Platform?
  • Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey?

CVS’s Analytics & Behavior Change team delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life.
At CVS, we’re pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, you’ll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience.
You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through provider-directed engagement channels (e.g., digital) that helps consumers identify affordable care, when they need it, and with whom.

Fundamental Components:

  • Participates in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solves moderately complex analytical problems.
  • Develops, validates, and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
  • Explores, examines, and interprets large volumes of data in various forms.
  • Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
  • Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
  • Uses data visualization techniques to effectively communicate analytical results and support business decisions.
  • Creates and evaluates the data needs of assigned projects and assures the integrity of the data.

REQUIRED QUALIFICATIONS

  • 2+ years Analytic experience
  • 2+ years SQL Programming experience
  • 1+ year experience as a Data Scientist with proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
  • 1+ year experience with Python
  • 1+ year Tableau dashboard building experience
  • 1+ year experience with Cloud ( GCP , AWS or Azure )
  • 1+ year experience working with large data sets from multiple data sources
  • 1+ year experience communicating technical concepts to business

PREFERRED QUALIFICATIONS

  • Experience with BigQuery ( BQ )
  • Experience working in the Healthcare Industry
  • Good written and verbal communication skills

EDUCATION

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
  • Master’s degree preferred.
Responsibilities

Please refer the Job description for details

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