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Sr. Data Scientist - job 2 of 2

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.

This is a hybrid role requiring working from the Connecticut or Chicago office 3 days a week.

Position Summary

We seek a skilled Senior Data Scientist to join our Medicare Population Health Enablement data science team. In this role you will be responsible for supporting and evaluating a variety of initiatives to reduce health disparities in Aetna’s Medicare population. We are looking for a data scientist with dual experience in program evaluation, health disparities, and/or clinical bias. You will analyze problems like how benefit changes impact members and examine the effectiveness of programs to assist members with social risk factors. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud.


Required Qualifications

  • 3+ years industry experience in data science or machine learning
  • 3+ years industry experience in program design, management, or evaluation
  • Experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
  • Experience querying production tables for obtaining data (e.g. SQL, NoSQL)
  • Proficient in Python and object-oriented programming
  • Experience in statistics and hypothesis testing
  • Good communication skills including the ability to explain technical concepts to non-technical audiences.
  • Bachelor’s degree in social science (e.g., psychology, public health), data science, statistics, computer science or related field.

Preferred Qualifications

  • Successful design, deployment, management, and evaluation of programs to address disparities between groups.
  • Experience with healthcare data, especially in the health disparity domain.
  • Knowledge of advanced experimental techniques (mixed modeling, difference-in-difference designs, propensity scores)
  • Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer)
  • Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
  • Advanced degree in social science (e.g., psychology, public health), data science, statistics, computer science or related field.


Education

Bachelor's degree preferred/specialized training/relevant professional qualification

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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: 04/30/2025

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

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Average salary estimate

$152955 / YEARLY (est.)
min
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$101970K
$203940K

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What You Should Know About Sr. Data Scientist, CVS Health

At CVS Health, we're on a mission to transform healthcare by building a world of health around every consumer. We want dedicated colleagues to join our team who are passionate about improving the lives of millions of Americans. We're currently looking for a Senior Data Scientist to become a key player in our Medicare Population Health Enablement data science team based out of Hartford, CT. In this hybrid role, you'll be working from our office three days a week, diving into projects that address health disparities within our Aetna Medicare population. You’ll leverage your expertise in data science and program evaluation to analyze and assess initiatives aimed at supporting members facing social risk factors. Your day-to-day tasks will include collaborating with cross-functional teams to define objectives and delivering crucial insights via cloud platforms. If you bring at least three years of industry experience in data science and program design, along with proficiency in Python and SQL, you may be the perfect fit! We appreciate good communication skills since you will need to break down complex technical concepts for our non-technical teammates. Join us, and let’s drive positive change in healthcare together. Your contributions will not only shape our projects but also impact the communities we serve passionately and compassionately.

Frequently Asked Questions (FAQs) for Sr. Data Scientist Role at CVS Health
What qualifications do I need for the Senior Data Scientist role at CVS Health?

To apply for the Senior Data Scientist position at CVS Health, you should ideally have a bachelor's degree in a relevant field such as data science, statistics, or social science. Additionally, over three years of experience in data science or machine learning and program evaluation is necessary. Familiarity with cloud computing platforms, proficiency in Python, and experience with data querying using SQL is critical in this role.

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What are the primary responsibilities of the Senior Data Scientist at CVS Health?

As a Senior Data Scientist at CVS Health, your main responsibilities will include analyzing data to assess initiatives aimed at reducing health disparities, collaborating with cross-functional teams, and delivering insights related to Medicare population health. You will also be expected to evaluate programs' effectiveness, lead data science projects, and leverage cloud computing tools for data management.

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What skills are important for a Senior Data Scientist at CVS Health?

Key skills for the Senior Data Scientist role at CVS Health include strong proficiency in Python and SQL, experience with cloud computing platforms, and expertise in statistical analysis and hypothesis testing. Additionally, strong communication skills to effectively convey complex concepts to non-technical stakeholders are essential, as well as the ability to manage and evaluate health programs.

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How does CVS Health support continuous learning for Senior Data Scientists?

CVS Health actively promotes continuous learning and professional development for Senior Data Scientists through various programs. Employees have access to resources such as tuition assistance, training sessions, mentoring opportunities, and workshops focusing on data science, healthcare, and related fields to ensure they stay updated with industry advancements.

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What benefits does CVS Health offer for Senior Data Scientists?

CVS Health offers an extensive benefits package for Senior Data Scientists, including affordable medical plans, a 401(k) with company matching, wellness programs, and resources for mental well-being. Additionally, employees enjoy flexible work schedules and paid time off to help maintain a healthy work-life balance.

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Common Interview Questions for Sr. Data Scientist
Can you describe a successful data science project you led?

When answering this question, focus on detailing the project's objectives, your specific role in the lead, the methods used, and the impact it had. Demonstrate your problem-solving skills and how you collaborated with others in the process.

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What experience do you have with health disparities?

Discuss any relevant projects you've worked on related to health disparities, highlighting your understanding of the underlying issues and how your work contributed to solving them. Make sure to mention any specific methodologies you applied.

Join Rise to see the full answer
How do you prioritize tasks when managing multiple projects?

Share a structured approach for prioritizing tasks such as assessing project deadlines, stakeholder requirements, and resource availability. Demonstrating your organizational skills while providing a real-life example can create a strong impression.

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What cloud platforms are you familiar with?

Be honest about your experience with cloud platforms, such as Google Cloud Platform or AWS. You should explain how you've utilized these tools in your past work and which aspects you are most comfortable with.

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How do you communicate complex data findings to a non-technical audience?

Emphasize your ability to simplify complex concepts using visuals or analogies. Describe a time when you successfully communicated findings to a non-technical team and how it contributed to informed decision-making.

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Describe your experience with programming in Python.

Discuss various projects or tasks that involved Python programming, including libraries you've used (like Pandas or NumPy) and specific data science tasks you’ve accomplished with it, focusing on demonstrating your proficiency.

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How do you handle unexpected challenges during a project?

Provide an example of a challenge you faced during a project, focusing on how you adapted your approach. Highlighting your resilience, problem-solving, and decision-making skills would be advantageous.

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What statistical methods are you most comfortable with?

Discuss statistical methods you have applied in previous roles, such as hypothesis testing or regression analysis. Be prepared to explain how these methods contributed to project outcomes in a practical context.

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How have you measured the effectiveness of a health program?

Share your approach to evaluating a health program’s success, focusing on the metrics you used, data collection methods, and the impact of your findings on improving the program. This demonstrates your analytical skills in a relevant domain.

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What motivates you to work in healthcare data science?

Reflect on your personal motivations, such as a desire to make a difference in people's lives through health solutions. You might also discuss how you enjoy tackling challenging problems that drive healthcare innovation.

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We help people with their health wherever and whenever they need us. And we do it with heart. Because our passion is our purpose: Bringing our heart to every moment of your health™.

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Full-time, hybrid
DATE POSTED
April 20, 2025

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