Mid-Level Data Scientist- Hybrid (DMV Area)

Swingtech•Greenbelt, MD

127d•Hybrid

About The Position

The Data Scientist will support a federal healthcare regulatory client responsible for national healthcare quality reporting programs across post-acute care settings. The role focuses on compliance analytics, payment determination support, public reporting, and monitoring and evaluation activities for providers subject to federally mandated Medicare quality reporting requirements. The Data Scientist will work with client stakeholders, program analysts, and technical teams to analyze complex healthcare datasets, develop analytic workflows and dashboards, and support data-driven decisions. Work is performed in client-approved secure environments in accordance with federal data security and privacy requirements.

Requirements

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.
At least 3 years of experience analyzing large, complex datasets from multiple sources.
Strong experience with SQL and relational database management.
Experience working in cloud-based analytics environments, preferably AWS or equivalent.
Hands-on experience with Databricks, Spark, and/or PySpark.
Experience with data visualization tools such as QuickSight, Tableau, Power BI, or similar.
Experience using Python and/or R for data analysis and modeling.
Familiarity with modernizing analytics platforms, including transitioning from legacy analytic solutions to open-source technologies.
Experience using MS Office Suite tools, with advanced experience in Excel.
Experience using MS SharePoint, Atlassian JIRA, and Confluence.
Demonstrated healthcare industry experience, particularly in healthcare quality measurement, outcomes research, or health services research.
Strong written and verbal communication skills, including 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.
Must be a U.S. citizen.
Ability to obtain and maintain required federal suitability or public trust, as applicable.

Nice To Haves

Preferred experience with AWS QuickSight.
Experience analyzing provider-level claims data, survey data, patient-level data, or quality reporting datasets.
Experience supporting federal healthcare programs, regulatory initiatives, or large-scale compliance programs.

Responsibilities

Analyze large, complex healthcare datasets to support provider compliance determinations and annual payment update decision-making.
Clean, preprocess, validate, reconcile, and forecast data from multiple healthcare sources, including feature engineering.
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 AWS platforms.
Refactor legacy code into Python, SQL, or PySpark as needed and in alignment with federal data modernization initiatives.
Produce quarterly and annual compliance analytics, including identifying non-compliant providers and generating 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 platforms and big data analytics tools to communicate findings to client stakeholders.
Review data dictionaries to support updates to Source to Target Mappings and create or implement associated change requests.
Perform ad hoc data analyses to inform policy decisions, regulatory updates, and program improvements.
Document analytic methodologies, business rules, data sources, and processes in accordance 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.

Benefits

15 PTO days
11 paid holidays
Medical insurance with three options, including an HSA with a $600 employer contribution
Dental insurance with no age limit for orthodonture
Vision insurance through EyeMed, with in- and out-of-network coverage
Short-term and long-term disability coverage with 100% premium support
Life insurance and AD&D with 100% premium support
Supplemental life insurance
Critical care and accident insurance availability
Pet insurance through Nationwide
Employee Assistance Program
401(k) available from day one, with a 4% company deferral
$1,500 annual training budget
$1,500 referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements