Principal Data Scientist: Strategic Analytics Leader

Blue Cross and Blue Shield of North Carolina; Wyoming (OH); On-site; USD 144,000 - 230,000; Full time

Job summary

Blue Cross NC is seeking a Principal Data Scientist to lead strategic data analyses and deliver collaborative, enterprise-aligned data science initiatives. You will own multiple large and complex data science projects, partner with business and technical teams, and translate data into actionable recommendations for executive leadership.

You will design scalable data models, build production models using Python and R, and guide cross-functional analytics efforts in areas like Payment Integrity,

Qualifications

• Bachelor's degree or advanced degree (where required).
• 8+ years of experience in related field.
• In lieu of degree, 10+ years of experience in related field.
• Strong Analytics/Data Science skills.
• Experience with Snowflake.
• 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.

Responsibilities

• 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.
• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation.
• Define and implement data stores based on system requirements and consumer requirements.
• Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis.
• Design and implement production models leveraging technologies such Python, and R.
• Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues.
• Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation.
• Lead development and reviews of complex analytic models and algorithms.
• Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.
• Document and test analytic processes including performance and thorough data validation and verification.
• Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy.
• Articulate analytic methods and drive business outcomes with responsible business areas.
• Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare.
• Informally lead other analysts and synthesize information and make recommendations to executive leadership.

Skills

Analytics

Data Science

Big Data

Statistical Analysis

Predictive Modeling

Data Visualization

Python

Education

Bachelor's degree or higher

10+ years experience in related field (in lieu of degree)

Tools

Snowflake

AI Agents

Job description

Blue Cross NC is seeking a Principal Data Scientist to lead strategic data analyses and deliver collaborative, enterprise-aligned data science initiatives. You will own multiple large and complex data science projects, partner with business and technical teams, and translate data into actionable recommendations for executive leadership.

You will design scalable data models, build production models using Python and R, and guide cross-functional analytics efforts in areas like Payment Integrity,