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Data Scientist

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Guidehouse
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 98000 - 163000 USD Yearly USD 98000.00 163000.00 YEAR
Job Description & How to Apply Below
Data Scientist page is loaded## Data Scientist locations: US - VA, Norfolk: US - CA, San Diego: US - PA, Philadelphia: US - VA, Arlington time type:
Full time posted on:
Posted Yesterday job requisition
** 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 work streams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.

The annual salary range for this position is $98,000.00-$. 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 Pay Down
* Tuition…
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