About this opportunity
Guidehouse Digital, LLC lists this Data Scientist opportunity in norfolk, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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Worksite address
norfolk, VA, 23500, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.