Business Intelligence Data Scientist

Blue Cross and Blue Shield of Kansas•New York, MO

1d•$108,640 - $135,800•Hybrid

About The Position

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.”

Requirements

Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related field required.
Minimum of 3 years' experience as a data analyst, data scientist, or related roles required.
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.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Demonstrated experience with creating accessible, insightful, compelling, and branded data visualizations.
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.
Excellent verbal, visual, and written communication skills.
Ability to present complex data and insights to non-technical stakeholders effectively.
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.
Ability to work collaboratively with strong interpersonal skills and a proactive attitude.

Nice To Haves

Experience with and knowledge of the healthcare delivery system and the health insurance industry preferred.
Master's degree or higher preferred.

Responsibilities

Analyze large and complex data sets from various sources to identify trends, patterns, and correlations. Translate data findings into actionable insights and recommendations.
Develop, test, and deploy predictive and prescriptive models and scenario forecasting using machine learning and statistical techniques. Continuously evaluate and improve model performance.
Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical stakeholders.
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.
Ensure data quality, integrity, and security. Develop and implement processes for data collection, cleaning, and preparation.
Stay current with the latest industry trends, tools, and technologies. Explore and implement new methodologies to enhance data analysis capabilities.