Data Scientist

GuidehouseNorfolk, VA
Onsite

About The Position

Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities that support Navy Reserve readiness, operational optimization, and mission assurance objectives. Lead the 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

  • An 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.
  • FOUR (4) 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.
  • Experience building predictive, prescriptive, or forecasting models and communicating analytical findings to both technical and non-technical stakeholders.

Nice To Haves

  • 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.

Responsibilities

  • Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities that support Navy Reserve readiness, operational optimization, and mission assurance objectives.
  • Lead the 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.

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.)
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