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Guidehouse

Junior Data Scientist

Guidehouse

. Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities supporting Navy readiness, operational optimization, and mission assurance objectives.

Posted 11/12/2026full-timeUnited StatesJunior💰 $98,000 - $163,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing advanced analytical models and AI/ML solutions to support Navy readiness and operational optimization. Proficient in statistical analysis, data visualization, and collaboration with cross-functional teams to deliver actionable insights.

Highest-signal resume keywords
Active Secret Security ClearanceData Analytics Solutions DevelopmentMachine Learning AlgorithmsPython ProgrammingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalyticsPredictive ModelingStatistical AnalysisMachine LearningData MiningResource OptimizationPredictive AnalyticsNatural Language ProcessingAnomaly DetectionDecision-Support Tools
Soft Skills
CollaborationMentoringPresentation SkillsCommunication
Tools & Technologies
PythonSQLJupyter NotebookDatabricksRPower BITableauQlikMicrosoft Power PlatformAzure Data Services
Industry Keywords
Department of DefenseU.S. NavyOperational OptimizationMission AssuranceWorkforce AnalyticsReadiness ReportingEnterprise Analytics PlatformsDigital Modernization

Tech Stack

Tools & technologies
AzurePythonSQLTableau

About the role

Key responsibilities & impact
  • Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities supporting Navy readiness, operational optimization, and mission assurance objectives.
  • Lead development of data analytics products, dashboards, and visualization tools that transform complex data into actionable insights for executives, operational leaders, and stakeholders.
  • Apply statistical analysis, machine learning, data mining, and predictive modeling techniques to assess trends, identify risks, optimize resource allocation, and improve decision-making processes.
  • Collaborate with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendation.
  • Evaluate emerging analytics technologies, methodologies, and AI/ML capabilities to enhance enterprise data solutions and support digital modernization initiatives.

Requirements

What you’ll need
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
  • Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.
  • ONE (1) or more years of experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products in a professional environment.
  • Experience with Python, SQL, Jupyter Notebook, Databricks, R, or similar analytics and data science tools used for data preparation, modeling, and visualization.
  • Master's degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field is nice to have.
  • Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization is nice to have.
  • Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools is nice to have.
  • Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform is nice to have.
  • Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders is nice to have.

Benefits

Comp & perks
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
  • Flexible benefits package
  • Up to 10% travel requirement