Data Scientist

Jobtome; Norfolk (VA); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Tuition Reimbursement

Sick Time & Holidays

Professional Development

Job summary

Guidehouse is seeking a data scientist to develop, validate, and deploy statistical models in support of Navy-related client missions. Travel up to 10% and an active Secret clearance are required; work onsite at client environments in the United States.

You will perform exploratory data analysis, design predictive and prescriptive models, and collaborate with data engineers to operationalize models. Build dashboards with Qlik to clearly communicate results to stakeholders.

Qualifications

• Bachelor's degree required.
• 3+ years of data science or analytics experience.
• Proficiency with Python, R, and SQL for analysis and modeling.

Responsibilities

• Develop, validate, and deploy statistical and analytical models.
• Perform EDA to identify trends and anomalies in large datasets.
• Design predictive and prescriptive models for data-driven decisions.
• Communicate findings to technical and non-technical stakeholders.
• Build reusable analytics frameworks and model pipelines.
• Develop dashboards and Qlik visualizations to convey results.

Skills

Python

R

SQL

Statistics

EDA

Modeling

Education

Bachelor's degree

Tools

Qlik

Databricks

Palantir Foundry

Tableau

Power BI

Job description

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Active Secret

What You Will Do:

• 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

What You Will Need:

• 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.)

The annual salary range for this position is $113,000.00-$188,000.00. 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 [e-mail]. 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 [e-mail]. 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 [e-mail]. 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.