Data Scientist

Guidehouse Digital, LLC is seeking a data scientist to help design, develop, and deploy advanced analytical models, predictive forecasting capabilities, and AI/ML solutions. This onsite role in Norfolk, VA supports Navy Reserve readiness, operational optimization, and mission assurance through decision-ready analytics products used by executive and operational leaders.

What you will do

• Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities aligned to Navy Reserve readiness, operational optimization, and mission assurance objectives.
• Lead data analytics product development, including dashboards and visualization tools that convert complex information into actionable insights for executives, operational leaders, and stakeholders.
• Use statistical analysis, machine learning, data mining, and predictive modeling to evaluate trends, surface risks, optimize resource allocation, and improve decision-making.
• Work with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendations.
• Assess emerging analytics technologies, methodologies, and AI/ML capabilities to strengthen enterprise data solutions and support digital modernization efforts.

Required qualifications

• Active and maintained “SECRET” Federal or DoD security clearance.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related quantitative discipline.
• 4+ years of professional experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products.
• Experience using Python, SQL, Jupyter Notebook, Databricks, R (or similar analytics and data science tools) for data preparation, modeling, and visualization.
• Experience building predictive, prescriptive, or forecasting models and communicating results to both technical and non-technical stakeholders.

Technologies you may use

• Python, SQL, Jupyter Notebook, Databricks, R
• Advana, Azure Data Services
• Power BI, Tableau, Qlik
• Microsoft Power Platform

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

Additional details

• Location: Norfolk, VA (onsite)
• Travel required: Up to 10%
• Job family: Data Science & Analysis
• Clearance required: Active Secret

What would be nice to have

• Master’s degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.
• Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization.
• Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools.
• Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform.
• Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.