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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

This is a unique opportunity for someone passionate about innovation in data science, machine learning, and predictive modeling techniques. The team currently uses an industry-leading scalable data platform and techniques in creating solutions to challenging business problems. This role will require frequent interaction with project stakeholders and business partners at all levels of the organization. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility.

Required Qualifications

+ 3+ years of experience with data analytics or a combination of education and experience.

+ 3+ years of experience with statistical analysis, predictive modeling, machine learning techniques, Python, Spark, and visualization tools.

+ 2+ years of extensive experience in big data, analytics, programming, statistics, and cybersecurity.

Preferred Qualifications

+ 3+ years of experience in information security, proven experience designing data science workflow solutions for production environments, working knowledge of statistical methods for analyzing data (central tendency, error analysis, analysis of outliers), deep knowledge and experience in machine learning, security, and network data to model risk-driven models of consumer and workforce behavior and provide context to security analysts to drive business decisions.

+ 3+ years of experience discussing business problems and requirements with customers and designing solutions.

+ 3+ years of experience being responsible for the end-to-end creation and deployment of new analytic offerings to support our internal and external clients.

+ 3+ years of experience being involved in all aspects of the project lifecycle from requirements gathering, hypothesis generation, ideation, programming, testing, and implementation of new processes and tools.

+ 3+ years Analyzing log, security, and cybersecurity intelligence data and using quantitative methods to create actionable and timely data products.

+ 3+ years of client interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence.

+ Experience with healthcare cybersecurity is strongly preferred.

+ Proven experience in predictive analytic modeling, preferably in large volume, high velocity, categorical data sets such as machine data.

+ Proven experience with statistical modeling for linear and logistic regression, non-parametric statistical tests, and non-gaussian distributions, including model efficacy measures and associated assumptions.

+ Creative problem solver, driven to answer complicated questions in a meaningful manner using scientific techniques.

+ Extensive experience with Spark.

+ Experience with data visualization techniques, principles, and tools, such as Plotly.

+ Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form.

Education

+ Bachelor’s degree required or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or other STEM fields - Master's degree preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$72,100.00 - $144,200.00

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.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 10/04/2025

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

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.