Business Intelligence Data Scientist

September 18, 2026

Job Description:

Analyze large and complex datasets from various sources to identify trends, patterns, and correlations
Translate data findings into actionable insights and recommendations
Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques
Continuously evaluate and improve model performance
Create data visualizations and dashboards for technical and non-technical stakeholders
Work with finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources teams
Understand business needs and translate them into data-driven solutions
Present findings and recommendations clearly and concisely
Maintain thorough and current documentation on data sources, preparation processes, mathematical models, dashboards, and business intelligence activities
Ensure data quality, integrity, and security
Develop and implement data collection, cleaning, and preparation processes
Stay current with industry trends, tools, and technologies
Explore and implement new methodologies to enhance data analysis capabilities

Requirements:

Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field required
Minimum of 3 years' experience as a data analyst, data scientist, or related roles required
Experience with and knowledge of the healthcare delivery system and health insurance industry preferred
Master's degree or higher preferred
Proficiency in Python or R
Experience with SQL and pandas
Understanding 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 ensure consistency of large datasets
Ability to build statistical models and interpret model shortcomings
Familiarity with Tableau or Power BI
Experience creating accessible, insightful, compelling, and branded data visualizations
Ability to apply, validate, and interpret results in machine learning contexts
Excellent verbal, visual, and written communication skills
Ability to make decisions using independent judgment and creativity
Ability to work collaboratively with strong interpersonal skills and a proactive attitude
Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment
Successful candidates must undergo pre-employment drug screening, criminal conviction check, employment verifications, and education verification

Benefits:

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