Data Scientist - Quality Management (Remote)

Data Scientist - Quality Management

Location: Remote

About Us:

Known for Delighting the Client through performance, innovation, and an employee-centric culture, S2Tech is a fast-growing IT consulting company serving clients in over a quarter of the United States. We are widely recognized as a leading provider of both technical and business services in support of Health and Human Services-related projects. Feel free to learn more at s2tech.com.

Why S2Tech?:

• Stable privately-owned company with a strong reputation for building long-term client relationships through the delivery of consistent value-based service
• 25+ years providing IT and Business services to private customers and government programs throughout the United States
• Expansive client portfolio and active projects employees benefit from innovative project exposure and in-house skill development training/courses
• Corporate culture that emphasizes the importance of family and promotes a healthy work-life balance
• Offer competitive pay and a range of benefits, including:
• Medical / Dental / Vision Insurance insurance premium assistance provided
• Additional Insurance (Life, Disability, etc.)
• Paid Time Off
• 401(k) Retirement Savings Plan & Health Savings Account
• Various training courses to promote continuous learning
• Corporate Wellness Program
• Be part of a company that gives back through its non-profit organization, Fortune Fund, which was launched in 2001. The goal of the Fortune Fund is to close the rural/urban divide by ensuring children in rural communities in India and the United States understand the importance of education & are aware of professional career opportunities, allowing them to link their professional & educational goals

Job Overview:

We are seeking a Data Scientist to support Quality Management efforts through advanced analytics, predictive modeling, and performance trend analysis. This role plays a key part in leveraging large-scale healthcare data to inform quality strategies, support pay-for-performance initiatives, and improve health outcomes across Medicaid and CHIP programs. You ll work with diverse datasets ranging from provider quality scores to member satisfaction data to identify trends, build models, and generate actionable insights that guide public healthcare decisions.

Responsibilities:

• Apply statistical, machine learning, and predictive modeling techniques to large healthcare datasets to identify quality trends and forecast performance
• Analyze data from sources such as HEDIS, CAHPS, value-based purchasing programs, and member-level claims or encounter data
• Develop models to support pay-for-performance analysis, risk stratification, provider scoring, and outcome prediction
• Collaborate with analysts, quality teams, and policy stakeholders to translate insights into strategies that improve care quality and program accountability
• Build and maintain reproducible data pipelines and models that support ongoing reporting and quality improvement projects
• Document methodologies, assumptions, and findings in support of transparency and compliance
• Support performance dashboard development and integrate analytical outputs into reporting platforms

Qualifications:

• 5+ years of experience in data science or advanced analytics role, preferably in healthcare or public sector environments
• Proficiency in Python or R for statistical analysis, machine learning, and data visualization
• Experience working with healthcare quality data, such as HEDIS, CAHPS, or managed care performance metrics
• Strong understanding of statistical techniques (e.g., regression, classification, clustering, time-series forecasting)
• Experience with structured data (SQL) and working knowledge of data warehousing or cloud-based platforms
• Ability to communicate technical findings to both technical and non-technical audiences

Preferred:

• Background in Medicaid/CHIP or other public health programs
• Familiarity with CMS quality programs, healthcare outcome frameworks, or health equity analysis
• Experience developing metrics or models used in pay-for-performance or value-based care strategies

S2Tech is committed to hiring and retaining a diverse workforce. We are an equal opportunity employer making decisions without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.