Guidehouse

Data Scientist

Guidehouse • $90K — $120K *
Norfolk, VA 23503In-Person
Aerospace & Defense
Less than 5 years of experience
Yesterday
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Job Overview by Ladders

Qualifications

  • Active Secret security clearance
  • Bachelor's degree or higher
  • 3+ years in data science or advanced analytics
  • Proficient in Python, R, and SQL
  • Experience applying machine learning techniques
  • Background in government or defense sectors, preferably Navy
  • Knowledge of cloud or big data environments

Responsibilities

  • Develop and validate statistical models to support client objectives
  • Perform exploratory data analysis on complex datasets
  • Design predictive models for data-driven decision-making
  • Collaborate to operationalize models in production
  • Translate business questions into analytical approaches
  • Build and maintain analytical frameworks and model pipelines
  • Create dashboards and visualizations to communicate insights

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • 401(k) Retirement Plan
  • Tuition Reimbursement and Skills Development Opportunities
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
Full 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.)


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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Business Services
Founded
2018
* Ladders Estimates

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