Position:
Data Science Analyst
Company:
CVS Health
Location:
161 Avenue of the Americas, New York, New York
Job Type:
Full-time
Job Mode:
Hybrid
Job Requisition ID:
R0527391
Years of Experience:
Not explicitly mentioned; as per JD looks like an entry level role; 0-3 years
Company Description:
CVS Health is a leading health solutions provider in the United States, committed to improving the healthcare experience for millions of Americans.
With a vast workforce of over 300,000 dedicated professionals, CVS Health leverages its local presence and digital channels to provide personalized and accessible healthcare solutions.
The company is known for its patient-centric approach, ensuring care is delivered in a manner that is more connected, convenient, and compassionate.
CVS Health is passionate about innovation and transformation in healthcare, driven by the goal of improving the quality of life for individuals and communities.
Through its comprehensive range of services, CVS Health strives to make a lasting impact on the health and well-being of its customers.
Profile Overview:
The Data Science Analyst at CVS Health will be responsible for performing complex and non-routine data analyses to improve the quality of various teams and business processes.
This role involves gathering data from large and complex datasets, conducting advanced statistical analyses, and employing machine learning techniques to derive meaningful insights.
The analyst will use established procedures and methodologies to address straightforward problems while contributing to existing analytical projects.
Responsibilities include analyzing structured and unstructured data to solve basic business problems, applying statistical methods, and developing predictive models.
The role also involves using data visualization techniques to effectively communicate results and support data-driven business decisions.
Additionally, the analyst will document data processing and analysis results, ensuring that findings are presented clearly to stakeholders.
Qualifications:
Required Qualifications:
Proficiency in programming languages such as R or Python
Hands-on experience with SQL for data querying and management
Preferred Qualifications:
Strong written and verbal communication skills, with the ability to explain technical concepts to business partners
Familiarity with big data concepts and the ability to work with large-scale datasets
Proficiency in data modeling, machine learning algorithms, statistical analysis, and data visualization techniques
Educational Requirements:
Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or an equivalent combination of formal education and experience
Additional Info:
Anticipated Weekly Hours: 40 hours per week
Time Type: Full-time
Pay Range:
The typical pay range for this role is between $74,160.00 and $148,320.00 annually.
The actual base salary may vary depending on factors such as experience, education, and location.
This position is eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay.
Diversity and Inclusion Commitment:
CVS Health is dedicated to fostering a workplace where every colleague feels valued, respected, and included.
The company believes in reflecting the diversity of the communities it serves, encouraging a culture where everyone can thrive.
Employee Benefits:
CVS Health provides a comprehensive and competitive benefits package to support the physical, emotional, and financial well-being of employees.
Key benefits include affordable medical plan options, a 401(k) plan with company match, and an employee stock purchase plan.
Additional no-cost programs include wellness screenings, tobacco cessation, weight management programs, and confidential counseling services.
Employees also receive flexible work schedules, family leave options, tuition assistance, and retiree medical access.
Application Deadline:
The application window for this role is expected to close on 03/29/2025.
Equal Opportunity Policy:
CVS Health is an equal opportunity employer committed to diversity and inclusion.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws.
Please click here to apply.
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