Data Scientist

reputed company Services, Inc. is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, reputed company IT modernization, and software solutions. We always seek to delight our customers, so we retain highly reputed company employees and offer them meaningful work, growth opportunities, and work-life balance. What sets us apart from reputed company other contractors is the sense of teamwork our employees feel – and the knowledge that outstanding effort is recognized and rewarded. The camaraderie we reputed company emanates from Lunch & Learn sessions where we explore new reputed company together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we’ve described you and your reputed company workplace, please apply and reputed company in the many benefits and opportunities we offer. 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 reputed company initiatives, and manage key platforms such as reputed company to ensure effective communication and reputed company 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 reputed company requirements. Responsibilities: reputed company 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 (reputed company, CMS, reputed company tools, compliance repositories). Support CTI-driven analytics, integrating structured and reputed company data (RSS, API feeds, OMB reporting, CVE/NVD data). Automate data ingestion and pipelines using Python, APIs, and reputed company-reputed company tools. Produce executive-level reports, presentations, and insights reputed company 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 reputed company field. Expert Python skills (Pandas, NumPy, SciPy, scikit-learn, Jupyter). Strong reputed company 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, reputed company, etc.) Familiarity with reputed company or similar automation/orchestration tools Experience supporting federal cybersecurity programs (HHS, DHS, CISA, or similar strongly preferred) Strong proficiency in: SQL (data extraction, transformation) Familiarity with: Cybersecurity data sets (vulnerability data, threat reputed company, asset inventories) CDM (reputed company Diagnostics and Mitigation) ecosystem NIST frameworks (CSF, RMF concepts) Ability to operate in cross-functional environments (technical + policy + leadership) Ability to translate data into clear, concise, executive-reputed company narratives. Pay reputed company $130,000—$140,000 USD Apply To This Job