Business Intelligence Data Scientist

This is a fully remote position, open to applicants in Kansas, +1 more state.

📋 Description

• Examine extensive and intricate datasets from multiple sources to uncover trends, patterns, and correlations.

• Convert data insights into practical recommendations and actionable strategies.

• Design, test, and implement predictive and prescriptive models along with scenario forecasting using machine learning and statistical methods.

• Continuously assess and enhance model efficacy.

• Develop data visualizations and dashboards tailored for both technical and non-technical audiences.

• Collaborate with finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources teams.

• Comprehend business requirements and translate them into data-centric solutions.

• Present discoveries and recommendations in a clear and concise manner.

• Maintain comprehensive and up-to-date documentation regarding data sources, preparation procedures, mathematical models, dashboards, and business intelligence initiatives.

• Ensure the quality, integrity, and security of data.

• Develop and execute processes for data collection, cleaning, and preparation.

• Stay informed about industry trends, tools, and technologies.

• Investigate and adopt new methodologies to improve data analysis capabilities.

⛳️ Requirements

• Bachelor's degree or equivalent in computer science, statistics, mathematics, engineering, or a related discipline is required.

• A minimum of 3 years' experience in a data analyst, data scientist, or similar roles is necessary.

• Experience and knowledge of the healthcare delivery system and health insurance industry is preferred.

• A Master's degree or higher is preferred.

• Proficiency in Python or R is essential.

• Experience with SQL and pandas is required.

• Understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling is necessary.

• Experience with big data and cloud platforms such as AWS, Azure, or Google Cloud is important.

• Ability to identify, manage, merge, and ensure consistency of large datasets is required.

• Capability to build statistical models and interpret their limitations is necessary.

• Familiarity with Tableau or Power BI is preferred.

• Experience in creating accessible, insightful, engaging, and branded data visualizations is crucial.

• Ability to apply, validate, and interpret results within machine learning contexts is essential.

• Excellent verbal, visual, and written communication skills are required.

• Ability to make decisions using independent judgment and creativity is necessary.

• Ability to work collaboratively with strong interpersonal skills and a proactive approach is essential.

• Applicants must reside in Kansas or Missouri, or be willing to relocate as a condition of employment.

• Successful candidates must complete pre-employment drug screening, criminal conviction checks, employment verifications, and education verification.

🏝️ Benefits

• Paid vacation and sick leave.

• Paid maternity and paternity leave available immediately upon hire.

• Incentive pay program (EPIP).

• Health, vision, and dental insurance.

• 6 weeks of paid parental leave for new mothers and fathers.

• Fertility/adoption assistance.

• 2 weeks of paid caregiver leave.

• 401(k) plan matching up to 5%.

• Tuition reimbursement.

• Health and fitness benefits, discounts, and resources.

• Ongoing training and development programs.

• Flexible work environment.