New

Data Scientist

Blue Cross and Blue Shield of Kansas City
parental leave, paid time off, paid holidays, tuition reimbursement, 401(k), employee discount
United States, Missouri, Kansas City
Jul 02, 2025
Guided by our core values and commitment to your success, we provide health, financial and lifestyle benefits to ensure a best-in-class employee experience. Some of our offerings include: Highly competitive total rewards package, including comprehensive medical, dental and vision benefits as well as a 401(k) plan that both the employee and employer contribute Annual incentive bonus plan based on company achievement of goals Time away from work including paid holidays, paid time off and volunteer time off Professional development courses, mentorship opportunities, and tuition reimbursement program Paid parental leave and adoption leave with adoption financial assistance Employee discount program Job Description Summary: Data Scientists are innovative, gifted, business outcome-focused individuals who thrive in an environment with a vast array of data, technologies, and techniques in their daily work. Data Scientists work closely with business leaders, vendors, and other teams to create critical insights that can be used to add value to Blue KC business. Data Scientists need to be creative thinkers who can identify the right path forward based on the problem at hand and propose innovative ways to look at problems by using advanced analytic approaches. Data Scientists need to be able to present their findings to the business ways that can be easily understood by their internal and external business counterparts. The candidate must reside in the Kansas City metropolitan area. Job Description Makes impactful contributions by understanding, anticipating, and creating advanced analytic business solutions that deliver strategic business insights and $500k+ value annually. Performs analysis of data utilizing statistics, machine learning, programming, and data modeling to discover information, business value, patterns, and trends to guide development of business assets and solutions. Performs exploratory data analysis to understand relationships and opportunities to influence health outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models. Leverages data assets and visualization skills to communicate insights and recommendations to business leaders in simple and understandable written and oral presentations. Identifies opportunities and applies the latest advancements in machine learning and artificial intelligence to build, test, and validate models that align with business goals. Performs the processing, cleaning, refinement and scale of predictive analytic processes, workflows, and tool/technology selections to support data science activities across the enterprise. Collaborates well with team members and develops warm client relationships. Minimum Qualifications Master's degree in Data Science, Computer Science, Engineering, or other relevant academic field or comparable amount of work experience. 3+ years' experience using natural language processing, machine learning, neural networks, or other predictive modelling methods. 3+ years' experience with data visualization tools (e.g., Power BI, Tableau). Expert level programming in Python or R. Intermediate to advanced knowledge of data extraction and manipulation using SQL. Strong problem-solving and analytical skills and attention to detail. Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. Collaborates well with subject matter experts to obtain an understanding of the underlying business problem to define and refine the corresponding technical solution Preferred Qualifications Experience creating impactful reports, visualizations, and interactive dashboards. Experience with large longitudinal datasets such as administrative claims, electronic medical records, consumer data, marketing engagement, social determinants of health, or disease registries. Experience building predictive analytic models in healthcare. Ability to integrate multiple systems and data sets. Displays continuous mastery of advanced analytic technology and industry knowledge. Demonstrates knowledge of payer business model and core health plan data. Experience using Azure, Snowflake, DataRobot, AWS, Google or other Big Data platforms and machine learning tools. Blue Cross and Blue Shield of Kansas City is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.