Business Intelligence Data Scientist

This job was posted by https://www.kansasworks.com : For more

information, please see: https://www.kansasworks.com/jobs/13669862 **Are

you ready to make a difference? Choose to work for one of the most

trusted companies in Kansas.**

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-solv