Business Intelligence Data Scientist

Job Description:

  • Analyze large and complex datasets 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 data visualizations and dashboards for technical and non-technical stakeholders
  • Work with finance, actuarial and underwriting, membership, marketing and customer experience, data warehouse and IT, health analytics, and human resources teams
  • Understand business needs and translate them into data-driven solutions
  • Present findings and recommendations clearly and concisely
  • Maintain thorough and current documentation on data sources, preparation processes, mathematical models, dashboards, and business intelligence activities
  • Ensure data quality, integrity, and security
  • Develop and implement data collection, cleaning, and preparation processes
  • Stay current with industry trends, tools, and technologies
  • Explore and implement new methodologies to enhance data analysis capabilities

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
  • Experience with and knowledge of the healthcare delivery system and health insurance industry preferred
  • Master's degree or higher preferred
  • Proficiency in Python or R
  • Experience with SQL and pandas
  • Understanding of data warehouse structures, data extraction tools, analytics software and methods, and data modeling
  • Experience with big data and cloud platforms such as AWS, Azure, or Google Cloud
  • Ability to identify, manage, merge, and ensure consistency of large datasets
  • Ability to build statistical models and interpret model shortcomings
  • Familiarity with Tableau or Power BI
  • Experience creating accessible, insightful, compelling, and branded data visualizations
  • Ability to apply, validate, and interpret results in machine learning contexts
  • Excellent verbal, visual, and written communication skills
  • Ability to make decisions using independent judgment and creativity
  • Ability to work collaboratively with strong interpersonal skills and a proactive attitude
  • Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment
  • Successful candidates must undergo pre-employment drug screening, criminal conviction check, 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 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 and fitness benefits, discounts and resources
  • Ongoing training and development programs
  • Flexible work environment
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