Data ScientistGuidehouse

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

• Perform exploratory data analysis (EDA) toidentifytrends, 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 aslogistics, 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 andmaintainreusable 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 acrosslogistics, 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 asrequired

What Would Be Nice To Have:

• Familiarity with deploying models or integrating analytics into operational workflows

• Strong foundationin 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.)