CVS Health

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Data Scientist

at CVS Health

Posted: 10/7/2020
Job Reference #: 73646BR
Keywords: system

Job Description

Job Description
It’s a new day in health care!

Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health.

As a CVS Health colleague, you’ll be at the center of it all.We offer a diverse work experience that empowers colleagues for career success.
In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.

Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster? Interested in generating analytical insights that help members make the best decisions for the individual care needs?

Aetna’s Member analytics team is an innovate team tasked with optimizing our ability to engage with members to help them make better healthcare decisions. Our goals are to improve clinical outcomes and to help members gain more transparency into the healthcare system so that they can save money. To do this we’ve developed a leading capability that combines data science, agile marketing, behavioral economics, large scale experimentation, and optimization of our digital properties and applications. Through this we message millions of members each year about real challenges they face and help them become more healthy or save money - we drive tangible and meaningful impact for our members.

A common campaign for us would include a number of predictive models that identify specific members to message at specific moments, a suite of creative tactics with varying behavioral economics principles to deliver content, and the use of a large number of channels and apps in a highly coordinated and journey based fashion - all deployed by our own team through the experimentation platform that we’ve developed. Our organization can launch campaigns in as little as six weeks and then over time will optimize and tune them; we currently maintain and optimize a portfolio of over one hundred very specific behavioral campaigns. We are constantly expanding and seeking to develop new campaigns and develop our ability to maximize behavior change by improving our ability to engage across channels and increasingly have a large focus on doing this through our apps. Our work encompasses identifying impactful behaviors to target, designing campaigns for them, optimizing those campaigns, and optimizing our overall functionality to do so. If you join our organization you’ll become an expert in understanding decision making and behavior, applying cutting edge machine learning/experimentation/behavioral science techniques, developing software to expand the ability to engage, building out digital properties, and running an agile business that innovates at large scale and high velocity. And you’ll know that your work directly impacts our membership in a positive way.


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.
  • Explores existing data and recommends additional sources of data for improvements.
  • Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.


Background Experience
  • Demonstrates good written and verbal communication skills.
  • Able to present information to various audiences.
  • Effectively resolves problems and roadblocks as they occur.
  • Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
  • Ability to work with large data sets from multiple data sources.3 years of relevant programming or analytic experience.
  • Masters degree preferred.Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.


Education
Master's degree

Percent of Travel Required
0 - 10%

Business Overview
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!