Offer summary

Qualifications:

Bachelor's degree or advanced degree in a related field., 3+ years of experience in data science or a related field, or 5+ years of experience in lieu of a degree., Proficiency in programming languages such as SAS, Python, and R., Strong understanding of Big Data systems and data modeling techniques..

Key responsabilities:

Own delivery of moderately sized data science and engineering projects.

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

Design and develop scalable data pipeline processes for data ingestion and transformation.

Identify actionable insights and communicate results to cross-functional groups.

Job description

Job Description

IT is different here. Our work as technology specialists pushes the boundaries of what’s possible in health care. You will build solutions that make a real difference in people’s lives. Driven by the importance of their work, our team members innovate to elevate. We’re encouraged to be curious, collaborate, and turn ideas into solutions that can make health care better for all.

In this role you will develop accurate and quality analyses that translate data in sound organizational decisions.

If you are ready to make a career out of making a difference, then you are the person for this team.

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 SAS, 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.

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.

$96,800.00 - $154,600.00

Required profile