Data Scientist

• Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives

• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets

• Design and deploy predictive and prescriptive models to enable data-driven decision-making

• Apply advanced analytics to Navy-specific domains such as logistics, maintenance, and operational readiness

• Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments

• Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences

• Build and maintain reusable analytical frameworks, code libraries, and model pipelines

• Apply machine learning techniques to solve classification, regression, clustering, and optimization problems

• Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively

• Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability

• Document methodologies, assumptions, and results to support transparency and reproducibility

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
• Bachelor's degree
• THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles
• Experience in Python, R, and SQL for data analysis, modeling, and data manipulation
• Experience applying machine learning techniques and statistical methods to real-world datasets
• Experience working with large, complex datasets across logistics, maintenance, supply chain, or readiness domains
• Experience developing data visualizations and dashboards using Qlik or similar tools
• Experience working within cloud or big data environments such as Databricks or similar platforms
• Experience working in Agile or iterative development environments
• Experience supporting government or defense clients (Navy experience preferred)
• Ability to work onsite in a client environment as required

What Would Be Nice To Have:

• Familiarity with deploying models or integrating analytics into operational workflows
• Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis)
• Statistical modeling and machine learning
• Ability to translate complex analytical outputs into actionable recommendations for stakeholders
• Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus
• Data analysis and interpretation
• Python, R, SQL programming
• Data visualization (Qlik, Tableau, Power BI, etc.)
• Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.)

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.