GRC Data Scientist: Risk Analytics & ML (Hybrid)

Dovel Technologies, Inc; Washington, Northern (District of Columbia, KY); Hybrid; USD 98,000 - 163,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Transit and Parking Benefits

Tuition Reimbursement

Job summary

Guidehouse is seeking a Data Scientist to support the development of analytics and automation solutions for DOJ portfolio clients in a mixed on-site/hybrid setting in the DC metro area. You will work across data wrangling, visualization, predictive analytics, ML models, and RPA to transform cybersecurity and GRC data into decision-ready insights.

The role requires experience in data analytics with large datasets, Python/SQL, and BI platforms, with DoD/DOJ familiarity preferred.

Qualifications

• 3+ years in data analytics or equivalent
• Experience with data analytics, modeling, or visualization projects in a consulting or federal environment.

Responsibilities

• Turn cybersecurity and GRC data into actionable insights for RMF workflows
• Design and deliver descriptive, diagnostic, and predictive analytics and ML models
• Collaborate with ISSOs, system owners, and Agile teams to define data requirements and dashboards
• Operate within CI/CD and DevSecOps practices to version experiments and validate models

Skills

Python

SQL

Data analytics

Machine learning

Communication

Education

Bachelor's degree

Tools

Tableau

Power BI

Qlik

Tenable

Qualys

CrowdStrike

BigFix

ElasticSearch

Microsoft SQL Server

PostgreSQL

Job description

Guidehouse is seeking a Data Scientist to support the development of analytics and automation solutions for DOJ portfolio clients in a mixed on-site/hybrid setting in the DC metro area. You will work across data wrangling, visualization, predictive analytics, ML models, and RPA to transform cybersecurity and GRC data into decision-ready insights.

The role requires experience in data analytics with large datasets, Python/SQL, and BI platforms, with DoD/DOJ familiarity preferred.