Data Scientist

Knowli Corp dba Knowli Data Science • Full-time • Remote (Columbia, South Carolina, United States) • $75k - $95k / year • 2m ago

Benefits:

401(k) matching
Competitive salary
Dental insurance
Flexible schedule
Health insurance
Opportunity for advancement
Paid time off
Training & development
Vision insurance

Benefits/Perks

Competitive compensation
Health, dental, and vision insurance
401K retirement plan with company match
Accident, life, and disability insurance
Paid time off (vacation, sick leave, holidays)
Flexible work schedule with one remote day per week
Professional development and training opportunities
Career Growth Opportunities

Job Summary
We are seeking a detail-oriented Data Scientist to join our team. As a Data Scientist with Knowli, you will play a critical role in supporting the South Carolina Department of Health and Human Services (SCDHHS) through Knowli’s Medicaid analytics contract. This position requires strong technical expertise in working with healthcare data, particularly Medicaid claims and program data, to inform policy, evaluate program performance, and support evidence-based decision-making.

The Data Scientist will be responsible for conducting advanced analyses of healthcare utilization and costs, developing dashboards and reports, and collaborating with cross-functional teams to translate data into actionable insights. The ideal candidate is hands-on with data, comfortable managing large datasets, and adept at communicating results to technical and non-technical stakeholders.

Note: This role is in-office four days per week in Columbia, SC, with the option to work remotely one day per week.

Responsibilities

Collect, clean, integrate, and transform large healthcare datasets, including Medicaid claims and provider files, to prepare for analysis.
Design and execute end-to-end analytical projects to evaluate Medicaid programs, utilization, expenditures, and provider performance.
Develop and maintain data pipelines, ensuring accuracy, efficiency, and adherence to governance and data quality standards.
Conduct statistical analyses and predictive modeling to uncover actionable results that inform decision-making.
Create new frameworks and tools to automate data collection, validation, and reporting.
Build and maintain interactive dashboards and visualizations in SAS Visual Analytics, SAS Viya, Tableau, or Power BI to clearly communicate findings.
Prepare and present complex results in accessible reports, presentations, and briefings tailored to both technical and non-technical audiences.
Collaborate closely with Knowli leadership, SCDHHS staff, and partner teams to define analytical needs, troubleshoot issues, and deliver timely insights.
Audit data sources to ensure accuracy, compliance with policies, and consistency across reporting systems.
Identify, develop, and implement methods for improving reporting efficiency and analytic workflows.
Contribute to data integrity, governance, and best practices in programming, documentation, and visualization.
Maintain current knowledge of trends, practices, and innovations in healthcare analytics and Medicaid policy.
Abide by HIPAA, confidentiality, and privacy laws while handling sensitive data.
Perform other duties as assigned within the scope of the position.

Minimum Qualifications

Bachelor’s degree in a quantitative field (Statistics, Computer Science, Mathematics, Public Health, Economics, Engineering, or related).
Preferred: Master’s degree in Data Science, Statistics, Biostatistics, Public Health, or related discipline.
Hands-on experience required with:
- SQL (data extraction, transformation, and schema design)
- SAS Studio, SAS Visual Analytics, and SAS Viya
- Python (data wrangling, statistical libraries, and predictive modeling)
3–5 years of professional experience conducting applied analysis with large, complex datasets.
Strong skills in statistical analysis, data manipulation, and healthcare data evaluation.
Demonstrated ability to independently scope and execute analytical projects.
Excellent written and verbal communication skills, including technical writing and presentation of findings to diverse audiences.
Ability to collaborate in a team environment while managing multiple priorities under tight deadlines.

Desired Skills & Competencies

Experience with Medicaid, Medicare, or other healthcare claims datasets.
Familiarity with healthcare performance measurement and quality reporting (CMS, NQF, HEDIS, etc.).
Knowledge of predictive analytics, risk adjustment, and program evaluation methodologies.
Proficiency with additional business intelligence tools (e.g., Tableau, Power BI).
Strong problem-solving skills with a focus on translating complex data into practical recommendations.