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Blue Cross Blue Shield of North Dakota logoBlue Cross Blue Shield of North Dakota

Healthcare Data Scientist

Skills
AnalyticsData AnalyticsData MiningData ScienceData VisualizationExploratory Data AnalysisMlops
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Master's degree in Data Science, Statistics, Mathematics, or related field
  • Consideration for other degrees with relevant work experience
  • 3 years of experience in programming languages (Python, R, SQL), data visualization tools (Tableau, Shiny), and machine learning algorithms and statistical methods
  • Strongly preferred healthcare experience
  • Problem solver
  • Comfortable presenting data to different business areas
  • Collaborative and analytical approach with stakeholders and the data analytics team
  • Equivalent combination of education, experience, or training acceptable by HR

Nice to have

  • problem-solving
  • collaborative
  • analytical
  • presentation skills
  • healthcare experience

Day to day

  • The Data Scientist is responsible for analyzing large and complex datasets to uncover patterns, trends, and insights that can drive business decisions while working closely with cross-functional teams.
  • This role will utilize statistical analysis, machine learning techniques, and programming skills to extract meaningful information from data and develop predictive models and algorithms to solve business problems and improve decision-making processes.
  • Relying upon past healthcare experience, analyzes large datasets to identify trends, patterns, and insights that can inform decision-making and strategic initiatives.
  • Collaborates with cross-functional teams, including marketing, sales, healthcare providers, and IT, to understand business needs and translate them into data-driven solutions.
  • Assists in data collection, cleaning, and preprocessing.
  • Develops hypotheses about the business problem and uses modeling techniques to test them.
  • Performs exploratory data analysis to uncover patterns and insights and understand data.
  • Using Python or R, develops and tests moderate to complex models to solve business problems by maximizing accuracy and minimizing bias.
  • Conducts routine checks for model drift and retrains models as needed.
  • Supports senior data scientists in larger projects and research tasks.
  • Assists and mentors jr. data scientists in their work.
  • Communicates findings and recommendations to stakeholders through reports, visualizations, and presentations.
  • Stays updated with the latest industry trends and technologies in data science.
  • Performs work under general supervision. Handles moderately complex issues and problems and refers more complex issues to higher-level staff.
  • Uses knowledge of MLOps to version, deploy and monitor trained models in production. Experience with Vetiver, Apache or other similar frameworks is required.

Hiring process

  • Attach resume and cover letter
  • Include GitHub link or portfolio if applicable