Data Scientist

Guidehouse Digital, LLC; Norfolk (VA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Holidays

Parental Leave

Life Insurance

Disability Insurance

Tuition Reimbursement

Learning Opportunities

Employee Referral

Corporate Events

Transit Benefit

Parking Benefit

Bonus

Job summary

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.

Qualifications include a SECRET clearance, a bachelor’s in a quantitative field, 4+ years’ experience, and proficiency in

Qualifications

• Active and maintained SECRET federal DoD clearance.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, OR Engineering or 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 for data preparation, modeling, and visualization.
• Experience building predictive, prescriptive, or forecasting models and communicating results to both technical and non-technical stakeholders.

Responsibilities

• 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.

Skills

Experience 4+ years

Security clearance

Predictive modeling

Data analytics

Data visualization

Education

Bachelor’s degree

Tools

Python

SQL

Jupyter Notebook

Databricks

R

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.