Sr Data Scientist - Risk Adjustment

$100,500 - $182,700/Yr

Blue Cross Nc

Full-time - Mid Level

Remote

1,001-5,000 employees

About the position

The Senior Data Scientist at Blue Cross NC is responsible for delivering high-quality analyses that inform organizational decisions. This role involves leading complex data science projects, developing and testing hypotheses, and implementing integrated data models. The Senior Data Scientist will also design scalable data pipelines and production models, leveraging technologies such as SAS, Python, and R, while ensuring data quality and validation.

Responsibilities

• Own delivery of 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 requirements 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 complex business solutions using various methods including data mining, statistical analysis, predictive modeling, stochastic modeling, pattern recognition, probability analysis, and network analysis
• Design and implement production models leveraging technologies such as SAS, Python, and R
• Leverage existing data sets and engineer new data sets including development of SQL queries (Snowflake), 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 reviews of 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

Requirements

• Bachelor's degree or advanced degree (where required)
• 5+ years of experience in related field
• In lieu of degree, 7+ years of experience in related field

Nice-to-haves

• Risk Adjustment experience
• Healthcare data experience

Benefits

• Annual Incentive Bonus
• 401(k) with employer match
• Paid Time Off (PTO)
• Competitive health benefits
• Wellness programs