Business Intelligence Data Scientist

You Belong At Blue

Are you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.

• Why Join Us?**
• **Make a Positive Impact:** Your work will directly contribute to the health and well-being of Kansans.
• **Family** **Comes First**: Total rewards package that promotes the idea of family first for all employees. Paid vacation and sick leave with paid maternity and paternity available immediately upon hire.
• **Professional Growth Opportunities:** Advance your career with ongoing training and development programs.
• **Dynamic Work Environment:** Collaborate with a team of passionate and driven individuals in a work environment that promotes flexibility.
• **Trust and Stability:** Work for one of the most trusted companies in Kansas with over 80 years of commitment, compassion and community.
• **Inclusive Work Environment:** We pride ourselves on fostering a workplace where everyone is valued and respected.

Benefits & Perks

• Base compensation is only one component of your competitive Total Rewards package.
• Incentive pay program (EPIP)
• Health/Vision/Dental insurance
• 6 weeks paid parental leave for new mothers and fathers
• Fertility/Adoption assistance
• 2 weeks paid caregiver leave
• 401(k) plan matching up to 5%
• Tuition reimbursement
• Health & fitness benefits, discounts and resources

Job Summary

The Business Intelligence (BI) Data Scientist will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to support strategic business decisions. The BI Data Scientist will work closely with cross-functional teams, including finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources, to understand business needs and deliver data-driven solutions.

"This position is eligible to work remote, hybrid or onsite in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment."

What you’ll do

• Data Analysis & Interpretation: Analyze large and complex data sets from various sources to identify trends, patterns, and correlations. Translate data findings into actionable insights and recommendations.
• Model Development: Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques. Continuously evaluate and improve model performance.
• Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical stakeholders.
• Collaborate & Communicate: Work with business stakeholders to understand their needs and translate them into data-driven solutions. Present findings and recommendations in a clear and concise manner. Support teammates by maintaining up-to-date, thorough, and clear documentation on data sources, preparation processes, mathematical models, dashboards, and other business intelligence activities.
• Data Management: Ensure data quality, integrity, and security. Develop and implement processes for data collection, cleaning, and preparation.
• Research & Innovation: Stay current with the latest industry trends, tools, and technologies. Explore and implement new methodologies to enhance data analysis capabilities.

What you need

Education And Experience

• Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field requ red.
• 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 the health insurance industry preferred.
• Master's degree or higher preferred.

Knowledge/Skills/Abilities

Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation tools (e.g., SQL, pandas). An understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling. Experience with big data and cloud platforms (e.g., AWS, Azure, Google Cloud). Ability to identify and make sense of rich data sources, manage large amounts of data, merge datasets, ensure consistency of datasets, graphically portray data to gain insights, build statistical models, understand data and model shortcomings, and effectively communicate findings. Data Visualization: Familiarity with data visualization tools (e.g., Tableau, Power BI). Demonstrated experience with creating accessible, insightful, compelling, and branded data visualizations. Analytical Skills: Strong analytical and problem-sol