Data Scientist Clinical Customer Advocacy / Contact Center Experience

At CVS Health, were building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nations 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.

A Brief Overview

Our Consumer Analytics team provides insights, designs personalized outreaches and nudges, and experiments at impressive scale: >100M messages per year. These messages educate members on truly meaningful things like staying adherent to medications, avoiding admissions to hospitals, and improving overall health (not about getting people to click on ads!).

We do this through a combination of rules, statistical, and ML models that identify who to target, an experimentation platform that weve built that allows complex journeys and test designs, and a combination of channels and vendors that deliver messages including SFMC. We do this hand in hand with our data engineering and marketing partners.

You will be part of a team that brings our insights and personalized outreaches and nudges to our B2B clients and their members (think health plans or employers providing health insurance and services to their employees).

As a member of our team, you will focus on developing data science solutions to enable and improve our advocacy program that helps members navigate their healthcare benefits, including call intelligence to help us understand member pain points, prioritization models to guide member outreach, and experiments to help us continuously improve our solutions.

What you will do:

• Write complex and efficient code in SQL, Python or R and leverage Exploratory Data Analysis techniques to develop insights from multiple data sources in a cloud environment.
• Collaborate with a multi-disciplinary team of data scientists and engineers that develops and deploys robust machine learning, statistical models, and experimentation to optimize patient engagement tactics, clinical outcomes, and patient experience.
• Consults with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level.
• Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.).
• Collaborate effectively with business, marketing, and other stakeholders across the organization.
• Present recommendations to senior staff and internal clients.
• Rapidly iterate through solutions to figure out what works best.
  

The ideal candidate:

• Has a solid grasp of foundations and experience with predictive modeling and optimization methods.
• Has a solid grasp of foundations and experience with causal inference methods (e.g., difference-in-differences) and experimental design.
• Has a solid grasp of foundations and experience with leveraging genAI solutions for analyzing call data.
• Wants to do something that is innovative from a data science perspective and provides tangible real-world impact.
• Is okay with ambiguity and can creatively build solutions that solve problems, even if those problems are not expressed in formal ways like BRDs.
• Has experience working as a social scientist and as a data scientist.
• Loves innovating and working on small teams that get stuff done and have a lot of autonomy.
• Experience with customer advocacy and contact center experience is a plus.
• Healthcare background is a plus.

For this role you will need the following minimum requirements:

• Mastery of problem solving and decision-making skills
• Mastery of collaboration and teamwork
• Mastery of growth mindset (agility and developing yourself and others) skills
• Mastery of execution and delivery (planning, delivering, and supporting) skills
• 1+ years work experience or graduate-level research experience
  

Programming/Technical skills required:

• Strong theoretical and hands-on experience with statistics and machine learning in general
• Strong programming skills in Python, R and SQL
• Hands-on experience with cloud computing (Google Cloud, AWS, etc.)
• Hands-on experience with tools and processes for version control (i.e. git, GitHub)

Education

• Bachelors degree in Statistics, Econometrics, or any related quantitative field
• Masters preferred

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.