Data Scientist

About the role

Guidehouse is seeking a Data Scientist with a focus on advanced analytics and statistical modeling to support Navy mission objectives. The ideal candidate will have a strong background in Python, R, and SQL, experience with large datasets, and proficiency in machine learning and statistical methods.

Responsibilities

• 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
• 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

Requirements

• 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

Qualifications

• 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)

Skills

• Ability to work onsite in a client environment as required

Benefits

• 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

Pay

Competitive compensation and a flexible benefits package are offered.

Schedule

The role may require up to 10% travel.