Mid-Level Data Scientist- Hybrid

Swingtech is seeking a mid-level data scientist to support a federal healthcare regulatory program based in Greenbelt, Maryland with a hybrid work arrangement. The role centers on compliance analytics, payment determination support, public reporting, and monitoring and evaluation for Medicare quality reporting.

• Analyze large, complex healthcare datasets to inform provider compliance determinations that feed annual payment update decisions.
• Perform data cleaning, preprocessing, validation, reconciliation, and forecasting using multiple healthcare data sources.
• Engineer features across diverse healthcare data sources to enable robust analyses.
• Integrate and analyze data from standardized assessment systems, administrative claims, public health surveillance data, CDC data, and other approved external sources.
• Develop, maintain, and enhance analytic workflows, dashboards, and reports within client approved centralized analytics on AWS platforms.
• When needed, refactor legacy code into Python, SQL, or PySpark to align with federal data modernization initiatives.
• Produce quarterly and annual compliance analytics, including identifying non-compliant providers and assembling program-level compliance lists.
• Support monitoring and evaluation activities, including trend analysis, performance measurement, and year-over-year comparisons.
• Create data visualizations and analytic summaries using cloud-based BI tools and big data analytics platforms to communicate findings to client stakeholders.
• Review data dictionaries to support updates to Source to Target Mappings and implement associated change requests.
• Support ad hoc data analyses to inform policy decisions, regulatory updates, and program improvements.
• Document analytic methodologies, business rules, data sources, and processes in alignment with federal documentation and accessibility standards.
• Collaborate with cross-functional teams using agile project management and collaboration tools to manage requirements, track work, and support timely delivery.

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, or a related field; additional experience may be considered in lieu of a Master’s degree.
• Minimum of three or more years of experience analyzing large, complex datasets from multiple sources.
• Strong SQL and relational database management experience.
• Experience working within cloud-based analytics environments, preferably AWS or equivalent.
• Hands-on experience with Databricks, Spark, and PySpark.
• Experience with data visualization tools such as cloud-based BI platforms (Quick Sight, Tableau, Power BI); preference for AWS Quick Sight.
• Proficiency in Python and/or R for data analysis and modeling.
• Familiarity with modernizing analytics platforms, including transitioning from legacy analytic solutions to open-source technologies.
• Proficient use of MS Office, with advanced Excel skills.
• Experience using SharePoint and the MS Office Suite, along with JIRA and Confluence.
• Demonstrated experience in the healthcare industry, particularly healthcare quality measurement, outcomes research, or health services research.
• Experience analyzing provider-level claims data, survey data, patient-level data, or quality reporting datasets is preferred.
• Experience supporting federal healthcare programs, regulatory initiatives, or large-scale compliance programs is preferred.
• Strong written and verbal communication skills, with the ability to translate complex analytic findings into clear, actionable insights for non-technical stakeholders.
• Ability to work in a fast-paced, deadline-driven environment while managing multiple priorities.

• SQL
• Python
• R
• Py Spark
• Databricks
• Spark
• AWS
• AWS Quick Sight
• Tableau
• Power BI
• Excel
• MS Office Suite
• Share Point
• JIRA
• Confluence

• 15 PTO days
• 11 paid holidays
• Medical insurance with three options, including an HSA plan with $600 employer contribution
• Dental insurance with orthodontic coverage without age limits
• Vision insurance through Eye Med with in-network and out-of-network coverage