Principal Data Scientist

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

Job summary

Blue Cross NC is seeking a Principal Data Scientist to lead strategic data analytics and deliver complex data science and engineering projects that drive enterprise decisions. You will own delivery of multiple large and/or complex data science initiatives and partner with business and technical teams to translate data into actionable outcomes.

You will design scalable data pipelines, build production models using Python and R, and leverage Snowflake alongside data mining and predictive analytics

Qualifications

• Bachelor's degree or higher; advanced analytics experience preferred.
• 8+ years in related field; equivalent 10+ years without degree.
• Proficient in data science methods and big data systems.
• Experience with Snowflake and AI agents a plus.

Responsibilities

• Lead development and testing of hypotheses across data sets.
• Define integrated data models across sources.
• Design scalable data pipelines for ingestion, cleansing, transformation, and validation.
• Build production models using Python and R.
• Engineer new data sets and resolve data quality issues.
• Communicate insights to cross-functional leadership.
• Document analytic processes and validate results.

Skills

Big Data

Complex Data Analysis

Data Analysis

Data Engineering

Data Mining

Data Modeling Techniques

Data Science

Data Visualization

Machine Learning

Predictive Analytics

Predictive Modeling

Python

Statistical Analysis

Statistical Models

Education

Bachelor's degree or advanced degree

10+ years of experience in related field

Tools

Snowflake

AI Agents

Job description

Job Description

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.

What You'll Do

• 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

What You Bring

• 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 Analytic/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

Salary Range

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

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models