Blue Cross NC is seeking a highly motivated Senior Data Scientist to join our Data & Analytics team.. In this role, you will extract, transform and combine all incoming data with the goal of discovering hidden insight, which in turn can improve business processes, address a problem or result in cost savings. You will have the opportunity to build advanced and complex statistical models and recommend ways to apply the data.. Independently:. 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 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 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. Hiring Requirements. Master's Degree in Data Science, Applied Mathematics, Computer science, Statistics, Biostatistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization, or equivalent combination of transferrable experience and education. 5 years of the following:. SQL programming skills (Advance SQL programming skills). Experience with design and implementation of analytic models and methodologies for new applications. Programming experience in Python, R or other programming language. Advance experience working with large and complex data sets. Deep knowledge of machine learning, statistics, optimization or related field Associated topics: data integration, data integrity, data manager, data scientist, data warehousing, database administrator, etl, mongo database, mongo database administrator, sybase
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