Data Scientist

About the role

Why should you join the BlueCross BlueShield of South Carolina family of companies? Other companies come and go, but for more than seven decades we've been part of the national landscape, with our roots firmly embedded in the South Carolina community. We are the largest insurance company in South Carolina ... and much more. We are one of the nation's leading administrators of government contracts. We operate one of the most sophisticated data processing centers in the Southeast. We also have a diverse family of subsidiary companies that allows us to build on a variety of business strengths. We deliver outstanding service to our customers. If you are dedicated to the same philosophy, consider joining our team! Position Purpose: Responsible for modeling complex healthcare inquiries, discovering insights and identifying opportunities through the use of statistical, algorithmic, data-mining and visualization techniques. Integrate and analyze large, varied datasets and communicate results of large scale analytics. Sponsorship : This position is not eligible for sponsorship now or in the future.

Responsibilities

• To Qualify For This Position, You Will Need:
• Required Education:
• Master's degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field.
• Required Work Experience:
• Three years of relevant quantitative and qualitative analytics experience, PhD training will be counted as three years of experience
• Required Skills and Abilities:
• Proficiency using SQL to query large, complex datasets.
• Strong programming, analytical, and problem-solving skills.
• Knowledge of statistical techniques including statistical analysis, quantitative analytics, predictive analytics, and multivariate testing.
• Ability to innovate and collaborate; Team player who is proactive and detail-oriented.
• Required Software and Other Tools:
• Microsoft Office, SQL, Statistical programming tools (such as R, Python, or SAS)
• We Prefer That You Have:
• Preferred Work Experience
• Experience with machine learning models, including development and deployment.
• Experience leveraging large language models (LLMs), ie. AI.
• Experience with data prep to support data science workflows.
• Experience working with health care data or OMOP CDM.
• Preferred Skills and Abilities:
• Proficiency using Python.
• Proficiency using Data Bricks.
• Strong written, verbal, presentation, communication, and interpersonal skills.
• Work Environment: Typical office environment. Some travel required.
• What We Can Do for You:
• We offer our employees great benefits and rewards. You will be eligible to participate in our benefits program the first of the month following 28 days of employment.
• Our comprehensive benefits package includes:
• Subsidized health plans, dental and vision coverage
• 401K retirem

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