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Senior Data Scientist - ML

AT CVS Health
CVS Health

Senior Data Scientist - ML

New York, NY

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.Position Summary

Are you interested in utilizing your advanced analytics skills to contribute to patient safety and dispensing monitoring for 1.6 billion annual prescriptions? The CVS team is currently seeking a skilled Senior Data Scientist to support pharmacy analytics. They will use their knowledge in Python scripting and SQL to investigate problems, detect patterns, and recommend solutions.By joining us, you will be part of a journey to develop descriptive and predictive techniques that enhance the patient, prescriber, and pharmacist experience through comprehensive analytics and insights. This includes leveraging predictive and prescriptive insights from clustering, anomaly detection, and risk scoring techniques. Additionally, you will apply analytics to optimize tradeoffs and create scenario models to address various business inquiries. The candidate will collaborate with business leaders and partners to inform the analytics approach, identify quick wins, and enable step changes over time. They must be able to effectively influence and communicate with a non-technical audience and promote adoption to drive sustainable impact. Position Description:

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  • Utilize analytics expertise to collaborate with key leaders in identifying new use cases that align with ambitious goals in CVS pharmacy.
  • Gather business requirements from multiple stakeholders and lead the analysis of extensive data to develop strategies and tactics for solving complex problems and optimizing tradeoffs.
  • Lead initiatives focused on asset protection analytics, employing both descriptive and predictive techniques.
  • Create and deliver presentations that communicate insights derived from analytics, along with recommendations and plans for moving forward, to a diverse range of audiences including internal stakeholders and senior leadership.
  • Promote knowledge sharing and provide input on the technology stack.
Required Qualifications
  • 3+ years of experience in descriptive and predictive analytics including gathering requirements to meet data and technology pre-requisites
  • Strategic mindset and experience leading highly technical initiatives focused on deploying data and analytics solutions in healthcare
  • Ability to engage with stakeholders, communicate insights and promote adoption of analytics insights
  • Deep expertise with data modeling/analytics in SQL and Python
  • Highly motivated to work in a fast-paced environment and enable sustainable impact in front store operations
Preferred Qualifications
  • First hand experience in building models to generate predictive and prescriptive insights
  • Familiarity with the common Python libraries used in machine learning projects
  • Experience with cloud computing platforms (e.g., Snowflake.), including querying/mining large datasets and deploying projects on cloud systems.
  • Familiarity with working in an Agile framework.
Education
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
  • Master's degree or PhD preferred
Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$111,240.00 - $222,480.00This 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 peopleWe 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/benefitsWe anticipate the application window for this opening will close on: 04/27/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Client-provided location(s): New York, NY, USA
Job ID: CVS-R0464458
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • HSA
    • HSA With Employer Contribution
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
  • Professional Development

    • Tuition Reimbursement
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program