Blue Cross and Blue Shield of Kansas
Blue Cross and Blue Shield of Kansas
Blue Cross and Blue Shield of Kansas is a policyholder-owned mutual health insurer serving communities across Kansas. As the state’s largest health insurer, the company works within the Blue Cross Blue Shield Association alongside 36 independent Plans nationwide. Based in Topeka, BCBSKS employs nearly 1,400 people across Kansas and is governed by a board of 16 Kansans representing varied expertise, including customer and healthcare perspectives. Its operations include paying more than $1 billion in annual claims to healthcare providers and contributing over $140 million to the Kansas economy through payroll and taxes.

Remote Business Intelligence Data Scientist

Develop predictive models, forecasts, dashboards, and data-driven recommendations for Blue Cross and Blue Shield of Kansas. Turn healthcare data into clear business insights for technical and non-technical stakeholders.

Description

  • Examine complex data from multiple sources to uncover trends, patterns, and relationships.
  • Convert analytical findings into practical insights and recommendations.
  • Build, test, and deploy predictive, prescriptive, and scenario-forecasting models using statistical and machine learning methods.
  • Monitor model performance and make ongoing improvements.
  • Design visualizations and dashboards for both technical and non-technical audiences.
  • Partner with finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources teams.
  • Translate business requirements into data-driven solutions.
  • Communicate findings and recommendations in a clear, concise manner.
  • Keep comprehensive, up-to-date documentation for data sources, preparation workflows, mathematical models, dashboards, and business intelligence work.
  • Protect data quality, integrity, and security.
  • Create and maintain processes for collecting, cleaning, and preparing data.
  • Keep current with relevant industry developments, tools, and technologies.
  • Evaluate and adopt methodologies that strengthen data analysis capabilities.

Requirements

  • A required bachelor’s degree or equivalent in computer science, statistics, mathematics, engineering, or a related field.
  • At least three years of experience in data analysis, data science, or a related role.
  • Healthcare delivery and health insurance industry experience is preferred.
  • A master’s degree or higher is preferred.
  • Proficiency in Python or R.
  • Experience using SQL and pandas.
  • Knowledge of data warehouse structures, data extraction tools, analytics software and methods, and data modeling.
  • Experience with big data and cloud platforms such as AWS, Azure, or Google Cloud.
  • Ability to identify, manage, merge, and maintain consistency across large datasets.
  • Ability to develop statistical models and assess their limitations.
  • Familiarity with Tableau or Power BI.
  • Experience producing accessible, insightful, compelling, and branded data visualizations.
  • Ability to apply, validate, and interpret results in machine learning contexts.
  • Strong verbal, visual, and written communication skills.
  • Ability to make decisions through independent judgment and creativity.
  • Collaborative working style with strong interpersonal skills and a proactive approach.
  • Must reside in Kansas or Missouri, or be willing to relocate as a condition of employment.
  • Must complete pre-employment drug screening, criminal conviction, employment, and education verification.

Benefits

  • Paid vacation and sick leave.
  • Paid maternity and paternity leave available from the start of employment.
  • Incentive pay through the EPIP program.
  • Health, vision, and dental insurance.
  • Six weeks of paid parental leave for new mothers and fathers.
  • Fertility and adoption assistance.
  • Two weeks of paid caregiver leave.
  • 401(k) matching contributions of up to 5%.
  • Tuition reimbursement.
  • Health and fitness benefits, discounts, and resources.
  • Ongoing training and professional development programs.
  • Flexible work environment.

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