Business Intelligence Data Scientist

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**You Belong At Blue**

• 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