Data Scientist

Electrosoft 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, enterprise IT modernization, and software solutions. We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance. What sets us apart from all other contractors is the sense of teamwork our employees feel - and the knowledge that outstanding effort is recognized and rewarded. The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we've described you and your dream workplace, please apply and share 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 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.)

• Familiarity with Tines 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 intel, asset inventories)

• CDM (Continuous 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-ready narratives.

Pay Range

$130,000-$140,000 USD

All qualified applicants are considered for employment, and employees are treated during employment without regard to race, color, religion, sex, national origin, age, citizenship, disability, or Veteran status. Additionally, the company provides reasonable accommodations to qualified individuals with disabilities.