bcbsnc

Principal Data Scientist

At a Glance

Location
Flex, North Carolina, United States
Employment
Full time
Experience
8+ years
Compensation
t and individual performance. $143,616.00 - $229,786.00
Posted
2026-08-06

Key Requirements

Required Skills

Data AnalysisData EngineeringData ScienceMachine LearningPythonSnowflake

Domain Knowledge

  • Engineering
  • Finance
  • Healthcare
  • Medical
  • Mining

Requirements

Experience building AI Agents

Understand Bell curve analysis

Incorporate Industry benchmarks into analysis

Perform outlier detection

Strong healthcare experience with Payment Integrity/FWA business knowledge is required

understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Compensation & Benefits

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets,  licensure and certifications and other business and organizational needs. Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Responsibilities

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions.

In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy.

You will own delivery of multiple large and/or complex data science and engineering projects.

Lead in the development and testing of hypotheses across all functional data sets

Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

Define and implement integrated data models, allowing integration of data from multiple sources