Senior Data Scientist

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Overview:

CVS Caremark is looking for a Senior Data Scientist to significantly improve the precision of our underwriting processes through sophisticated analytics. In this crucial role, you will utilize your analytical skills to spearhead error attribution and in-depth root cause analysis, delivering actionable insights that facilitate strategic decision-making. The ideal candidate will possess a strong background in data analytics and a passion for data storytelling. You will be part of analytics strategy for underwriting, collaborating with leadership to guide critical organizational decisions. This position provides a chance to impact the organization's direction while developing a portfolio of high-impact analytical projects. You will be part of analytics initiatives through all the stages – defining investigation of data, analyzing the data, finding the root cause, developing the solution and presenting to key stakeholders.

Key Responsibilities:

• In the role of Senior Data Scientist, you will leverage your quantitative expertise to analyze large datasets that inform decision-making.
• Manage data pipelines and workflows by working alongside data engineers to design and enhance data pipelines, while also developing your own processes for data handling, transformation, and analysis.
• Employ quantitative analysis and data visualization to uncover insights that go beyond the numbers and reveal what drives errors in our business.
• Discover business opportunities through data-driven insights and create impactful analytical solutions.
• Independently investigate data and establish a structured analytical plan to extract valuable insights.
• Develop, implement, and assess hypotheses to identify the factors leading to forecasting errors.
• Convey analytical findings and solutions through engaging narratives and visualizations, effectively involving stakeholders to support informed business decisions.
• Be proficient in coding, GIT, documentation, and best practices for quality assurance.
• Deliver actionable recommendations to senior leadership and internal stakeholders.

Qualifications:

Required:

• 3+ years of experience in prescriptive and descriptive analytics, statistics, or a related discipline, demonstrating a strong capability to perform root cause analysis and deliver actionable insights that aid in strategic decision-making.
• Expertise in SQL and Python (Pandas) with 3+ years of professional experience.
• Ability to approach ambiguous problems and resolve them in a structured, hypothesis-driven manner supported by data.
• Develop comprehensive analytics experiments, reports, and dashboards utilizing SQL, Python, or other scripting and statistical tools.
• Experience collaborating with business leaders and key stakeholders to gather requirements and build solutions accordingly.
• Proven track record of making a measurable impact on the business's bottom line (e.g., cost savings, increased efficiency).
• Familiarity with AWS and Azure platforms.
• Strong statistical and analytical foundation with practical experience in experimental design and ROI analysis.
• Proficient in investigating various data sources and systems to identify root causes and provide effective solutions, which may involve machine learning or statistical techniques.
• Skilled in using Microsoft Office Suite, including MS Excel and PowerPoint.

Preferred:

• Excellent problem-solving and analytical skills that utilize statistical and machine learning techniques.
• Proven ability to effectively communicate technical concepts and their implications to business stakeholders.
• Proficient in various mathematical analysis methods, machine learning, statistical analysis, and predictive modeling, with in-depth expertise in specific areas.
• Strong understanding of advanced analytics tools and programming languages for analyzing large datasets from diverse sources.
• Solid SQL, Pyspark, and Python coding skills are essential.
• Experience in the Pharmacy Benefit Management (PBM) industry and/or management consulting is a plus.
• Master’s degree in computer science, Data Science, or a related field.

Education:

• Bachelor's degree in computer science, Data Science, or a related field.
• Experience working collaboratively with data engineering teams on designing data pipelines.

Why Join Us?

This is a unique opportunity to make a significant impact on Caremark’s Underwriting business. If you are a strategic thinker with a passion for analytics and a desire to drive meaningful change, we invite you to apply and be part of our dynamic team!

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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

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