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Guidehouse

Advises agencies and runs regulated operations

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNorfolk, VA, USA

About the Job

Requirements

  • An active and maintained Secret Federal or DoD security clearance is required.
  • A bachelor's degree is required.
  • At least three years of experience in data science, advanced analytics, or applied statistical modeling roles is required.
  • Experience using Python, R, and SQL for data analysis, modeling, and data manipulation is required.
  • Experience applying machine learning techniques and statistical methods to real-world datasets is required.
  • Experience working with large, complex datasets across logistics, maintenance, supply chain, or readiness domains is required.
  • Experience developing data visualizations and dashboards using Qlik or similar tools is required.
  • Experience working within cloud or big data environments such as Databricks or similar platforms is required.
  • Experience working in Agile or iterative development environments is required.
  • Experience supporting government or defense clients is required.
  • Ability to work onsite in a client environment as required.

Responsibilities

  • Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives.
  • Perform exploratory data analysis 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 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.
  • Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability.
  • Document methodologies, assumptions, and results to support transparency and reproducibility.

Desired Qualifications

  • Navy experience is preferred.
  • Familiarity with deploying models or integrating analytics into operational workflows.
  • A strong foundation in statistics, mathematics, or quantitative analysis, including regression, hypothesis testing, and time series analysis.
  • Experience in statistical modeling and machine learning.
  • Ability to translate complex analytical outputs into actionable recommendations for stakeholders.
  • Experience working alongside or within data platforms such as Palantir Foundry or similar environments.
  • Experience with data analysis and interpretation.
  • Experience with Python, R, and SQL programming.
  • Experience with data visualization tools such as Qlik, Tableau, or Power BI.
  • Experience with big data platforms such as Databricks, Snowflake, AWS, Azure, or Palantir Foundry.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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