Today
Secret
Senior Level Career (10+ yrs experience)
Unspecified
IT - Security
Data Scientist
Seeking a highly skilled and mission-driven Data Scientist to support modernization efforts, enhance operational efficiency, and improve data-driven decision-making across multiple government Cybersecurity Operations divisions. This role will contribute to the development and implementation of innovative data solutions, support security initiatives, and manage key platforms such as Salesforce to ensure effective communication and access control.
The ideal candidate will bring expertise in data science, machine learning, and visualization, along with experience in federal environments and a strong understanding of HHS-specific operational and security requirements.
Responsibilities:
Develop and maintain predictive models for vulnerability trending, risk scoring, and program performance.
Build dashboards (Tableau/Power BI/Plotly) used by HHS leadership to track VAPT metrics, ATO/RMF status, and cybersecurity indicators.
Conduct ETL and data cleansing across large, heterogeneous datasets (HC3, CMS, security tools, compliance repositories).
Support CTI-driven analytics, integrating structured and unstructured data (RSS, API feeds, OMB reporting, CVE/NVD data).
Automate data ingestion and pipelines using Python, APIs, and cloud-native tools.
Produce executive-level reports, presentations, and insights aligned with HHS PMO standards.
Ensure proper handling of PHI/PII consistent with HIPAA, FISMA, and federal privacy guidelines.
Collaborate closely with PMs (you), VAPT leads, CTI analysts, and HHS stakeholders on data needs and requirements.
Required Skills:
Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
Expert Python skills (Pandas, NumPy, SciPy, scikit-learn, Jupyter).
Strong foundation in statistics, modeling, clustering, anomaly detection, and ML.
Hands-on experience with Power BI or Tableau for visual analytics.
Strong ETL/ELT and large dataset processing experience.
Familiarity with federal cybersecurity data (CVE, NVD, CISA KEV, RMF artifacts, VAPT deliverables).
Understanding of HIPAA, PHI/PII controls, and federal privacy requirements.
Experience with AWS or Azure data workflows (S3, Glue, Redshift, Synapse, Databricks, etc.).
Ability to translate data into clear, concise, executive-ready narratives.
Preferred Skills:
Experience supporting HHS, CMS, HC3, or similar federal health organizations.
Knowledge of HVA assessments, OMB reporting, or FISMA metrics.
Experience integrating CTI data or building risk-based scoring models.
Familiarity with Tines or similar automation/orchestration tools.
Seeking a highly skilled and mission-driven Data Scientist to support modernization efforts, enhance operational efficiency, and improve data-driven decision-making across multiple government Cybersecurity Operations divisions. This role will contribute to the development and implementation of innovative data solutions, support security initiatives, and manage key platforms such as Salesforce to ensure effective communication and access control.
The ideal candidate will bring expertise in data science, machine learning, and visualization, along with experience in federal environments and a strong understanding of HHS-specific operational and security requirements.
Responsibilities:
Develop and maintain predictive models for vulnerability trending, risk scoring, and program performance.
Build dashboards (Tableau/Power BI/Plotly) used by HHS leadership to track VAPT metrics, ATO/RMF status, and cybersecurity indicators.
Conduct ETL and data cleansing across large, heterogeneous datasets (HC3, CMS, security tools, compliance repositories).
Support CTI-driven analytics, integrating structured and unstructured data (RSS, API feeds, OMB reporting, CVE/NVD data).
Automate data ingestion and pipelines using Python, APIs, and cloud-native tools.
Produce executive-level reports, presentations, and insights aligned with HHS PMO standards.
Ensure proper handling of PHI/PII consistent with HIPAA, FISMA, and federal privacy guidelines.
Collaborate closely with PMs (you), VAPT leads, CTI analysts, and HHS stakeholders on data needs and requirements.
Required Skills:
Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
Expert Python skills (Pandas, NumPy, SciPy, scikit-learn, Jupyter).
Strong foundation in statistics, modeling, clustering, anomaly detection, and ML.
Hands-on experience with Power BI or Tableau for visual analytics.
Strong ETL/ELT and large dataset processing experience.
Familiarity with federal cybersecurity data (CVE, NVD, CISA KEV, RMF artifacts, VAPT deliverables).
Understanding of HIPAA, PHI/PII controls, and federal privacy requirements.
Experience with AWS or Azure data workflows (S3, Glue, Redshift, Synapse, Databricks, etc.).
Ability to translate data into clear, concise, executive-ready narratives.
Preferred Skills:
Experience supporting HHS, CMS, HC3, or similar federal health organizations.
Knowledge of HVA assessments, OMB reporting, or FISMA metrics.
Experience integrating CTI data or building risk-based scoring models.
Familiarity with Tines or similar automation/orchestration tools.
group id: 10211450
