Data Scientist - PBM underwriting

CVS Health

4d

About The Position

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. Position Summary The Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. This role falls within the Analytics and Behavior Change organization and will focus on building & deploying analytic models that help the PBM business meet its client and pharmacy financial guarantees. This team works on ML and forecasting models to forecast drug trend pricing and utilization tied to 95 million Americans. The ideal candidate will be a flexible collaborator and team player who can contribute to all phases of the project including data cleaning and interpretation, analysis, data preparation, pipeline management, model enhancements, model performance and data quality assessments, reporting, documentation, and project overviews.

Requirements

• Master’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or other related field with 1+ years of professional experience in: Extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders Preparing data for analysis, assess completeness and quality of data, and perform feature engineering Communicating effectively and confidently with business partners, project team members, and senior management Working with data and have a strong understanding of analytics and how it is leveraged within the healthcare/pharmacy industry
• 1+ years of experience applying modern machine learning techniques to build predictive models for classification, regression, and time series problems
• 1+ years’ experience with general linear models, including regression and time series techniques etc.
• 1+ years of experience coding in Python or similar programming language
• 1+ year experience with SQL

Nice To Haves

• 3+ years of experience coding in Python
• 1+ years of experience with Tableau or other visualization tool
• Experience with Databricks and cloud (Azure, GCP) platforms
• Experience with gitlab and version control, as well as MLOps procedures
• Knowledge of deep learning and big data tools and techniques
• Prior experience developing & deploying advanced analytics models supporting Underwriting or Actuarial domains

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees