Data Scientist

Job Description

What You Will Do

• Own delivery of moderately sized data science and engineering projects

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

• Participate in 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 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 as 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 conceptual understanding of Big Data systems to data set engineering and analytic model implementation

• Participate in 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

What You Bring

• Bachelor's degree or advanced degree (where required)

• 3+ years of experience in related field.

• In lieu of degree, 5+ years of experience in related field.

• Experience supporting Marketing, new acquisition and retention models.

• Experience with statistical analysis and causal inference.

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.