Data Scientist

Guidehouse

Norfolk (CO)

On-site

USD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Parental Leave
Tuition Reimbursement

Job summary

Guidehouse is seeking a Data Scientist with an active Secret clearance to design and implement advanced analytics, predictive forecasting, and AI/ML solutions supporting Navy Reserve readiness and mission objectives.

You will lead the creation of analytics products and dashboards that translate complex data into actionable insights for executives and stakeholders, collaborating with data engineers, analysts, and government partners.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, CS, OR, Engineering, or related quantitative field.
  • 4+ years of experience building data analytics solutions, statistical models, or ML/advanced analytics products.
  • Experience with Python, SQL, Jupyter Notebook, Databricks, R or similar analytics tools.

Responsibilities

  • Design, develop, and implement analytical models, forecasting solutions, and AI/ML capabilities for Navy Reserve objectives.
  • Lead development of data analytics products, dashboards, and visualization tools for executives and stakeholders.
  • Apply statistical analysis, machine learning, data mining, and predictive modeling to improve decision-making and optimize resources.

Skills

Python
SQL
Jupyter Notebook
Databricks
R

Education

Bachelor's degree in a quantitative field
Master's degree (preferred)

Tools

Excel

Job description

Job Family

Data Science & Analysis

Travel Required

Up to 10%

Clearance Required

Active Secret

What You Will Do
  • 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.
What You Will Need
  • 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.
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.
What We Offer

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • 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

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse Will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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