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Data Scientist

Guidehouse Open · verified Oct 24, 2026
US - VA, Norfolk Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Guidehouse. US - VA, Norfolk · full-time · $98,000–$163,000 base.

SalaryStated by Guidehouse
$98,000 – $163,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
LocationUS - VA, Norfolk
EmploymentFull-time
Base pay$98,000–$163,000
PostedOct 23, 2026 · 1d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build analytical models and forecasting tools to address Navy Reserve readiness, operational efficiency and mission assurance
  • Turn complex data into dashboards and visual products that help executives and operational leaders act on findings
  • Use statistical and machine-learning methods to spot trends and risks, improve resource allocation and support decisions
  • Work with engineers, analysts and government stakeholders to set analytical requirements, check methods and deliver recommendations
  • Assess emerging analytics methods and AI/ML capabilities for enterprise data solutions and modernization work

What you bring

  • You hold a bachelor's degree and an active, maintained Secret federal or DoD clearance
  • You have professional experience creating analytics solutions, statistical models, machine-learning algorithms or similar analytical products
  • You have used Python, SQL, Jupyter Notebook, Databricks, R or another listed analytics tool for data preparation, modeling or visualization
  • You have built predictive, prescriptive or forecasting models and explained findings to technical and non-technical audiences

Who this fits

This mid-level role suits a data scientist who can develop models and communicate their implications to varied audiences. An active, maintained Secret clearance is required, and travel may reach ten percent.

From the employer

Job Family:

Data Science & Analysis, Data Science Consulting


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
  • 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:


  • Experience in Palantir Foundry
  • 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.

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


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

  • 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

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.

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.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$90k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.