Blue Cross and Blue Shield of Kansas has a new opportunity for a Business Intelligence Data Scientist to join our team. This position 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 reports to the Chief Development Officer.
"This position is eligible to work remotely (8 or less days a month onsite) or hybrid (9 or more days a month onsite) in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment."
Are you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.
Why Join Us?
FamilyComes First: Total rewards package that promotes the idea of family first for all employees; including paid time off and family first leave.
Professional Growth Opportunities: Advance your career with ongoing training and development programs both through our internal Blue University and external opportunities.
Dynamic Work Environment: Collaborate with a team of passionate and driven individuals.
Trust: Work for one of the most trusted companies in Kansas.
Inclusive Work Environment: We pride ourselves on fostering a diverse and inclusive workplace where everyone is valued and respected.
Compensation
$105,920 - $126,000
Exempt Grade IT&S 17
Blue Cross and Blue Shield of Kansas offers excellent competitive compensation with the goal of retaining and growing talented team members. The compensation range for this role is a good faith estimate, it is estimated based on what a successful candidate might be paid. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive wages that align with the individual's skills, education, experience, and training. The range may vary above or below the stated amounts.
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
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
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-solving abilities. Ability to interpret complex data and provide actionable insights. Ability to apply, validate, and interpret results in a variety of machine learning contexts.
Communication Skills: Excellent verbal, visual, and written communication skills. Ability to present complex data and insights to non-technical stakeholders effectively.
Decision Making: Adept at identifying underlying mathematical and statistical assumptions of a given dataset or algorithm and to implement and interpret results appropriately. Ability to make decisions using independent judgment and creativity to resolve issues and overcome roadblocks.
Collaboration: Ability to work collaboratively with strong interpersonal skills and a proactive attitude.
Bonus if you have
Experience with and knowledge of the healthcare delivery system and the health insurance industry preferred.
Master's degree or higher preferred.
Benefits & Perks
Base pay 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
5% 401(k) plan matching
Tuition reimbursement
Health & fitness benefits, discounts and resources
Our Commitment to Diversity, Equity, Inclusion, and Belonging
At Blue Cross and Blue Shield of Kansas, we are committed to fostering a culture of diversity, equity, inclusion, and belonging (DEIB), where mutual respect is at the foundation of our workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical or mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military or veteran status, family or parental status, or any other characteristic protected by applicable law.
We believe that embracing diversity and authentically promoting inclusion, equity, and belonging among our team members is crucial to our collective success. By intentionally recruiting, developing, and retaining a diverse pool of talent, we cultivate an environment where everyone feels valued, heard, and empowered to contribute. Accommodations are available for applicants with disabilities upon request, ensuring an inclusive and accessible hiring process for all.
