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:
As a Senior Data Scientist, you will play a key role in driving impactful data-driven solutions within our team. Your work will focus on developing predictive models, leveraging machine learning algorithms, and analyzing large datasets to provide actionable insights that influence strategic decisions. You will be solving complex business problems, collaborating with cross-functional teams, and identifying opportunities to optimize processes and performance. Our team is focused on delivering high-quality, scalable data products that directly contribute to the success of the organization.
Required Qualifications:
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Minimum of 3 years of experience in data science, analytics, or a related field.
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Proficiency in programming languages such as Python and SQL.
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Extensive experience working with machine learning algorithms, including but not limited to regression, classification, clustering, and deep learning.
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Experience with data visualization tools such as Tableau, Power BI, or similar.
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Expertise in statistical analysis and hypothesis testing.
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Strong experience with data preprocessing, feature engineering, and model selection.
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Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure).
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Proven track record of delivering end-to-end data science solutions, from problem definition to model deployment.
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Strong understanding of data structures, algorithms, and software engineering principles.
Preferred Qualifications:
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Experience with big data technologies (e.g., Hadoop, Spark).
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Familiarity with deploying models to production environments and integrating with business applications.
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Experience working with large-scale, unstructured data sets.
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Strong problem-solving skills, with the ability to think critically and analytically.
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Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
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Ability to mentor junior team members and provide technical leadership.
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Proven ability to work effectively in a fast-paced, collaborative team environment.
Education:
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Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
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Master’s degree preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
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 (https://jobs.cvshealth.com/us/en/benefits)
We anticipate the application window for this opening will close on: 03/12/2025
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.
