Data Scientist / Decision Scientist - Network Optimization & Design (Remote)

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

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 / Decision 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 recommend network configurations deliver access to affordable healthcare.

FUNDAMENTAL COMPONENTS

• Participating in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solving moderately complex analytical problems.

• Developing, validating, and executing algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

• Exploring, examining, and interpreting large volumes of data in various forms.

• Performing analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.

• Developing data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.

• Using data visualization techniques to effectively communicate analytical results and support business decisions.

• Creating and evaluating the data needs of assigned projects and assures the integrity of the data.

• Demonstrating good written and verbal communication skills.

• Ability to present information to various audiences.

• Effectively resolving problems and roadblocks as they occur.

• Demonstrating 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.

Required Qualifications

• 2+ years' experience in Data Scientist or Decision Scientist role

• 2+ years' experience in programming in Python using Pandas for data manipulation

• 2+ years' experience writing strong, complex and efficient queries in SQL

• 1+ years' experience working in Cloud platforms (GCP, AWS or Azure)

Preferred Qualifications

• Healthcare industry work experience

• GCP work experience

• Software engineering experience

Education

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

• Master's degree preferred

Pay Range

The typical pay range for this role is

$64,890.00 - $173,040.00

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.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. 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, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as 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.

For more detailed information on available benefits, please visit Benefits | CVS Health (~~~)

We anticipate the application window for this opening will close on: 11/30/2024

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.