Data Scientist

Salary: $85,000 - 125,000 per year Requirements: We require an active and maintained Secret Federal or DoD security clearance. We require a bachelors degree. We require three or more years of experience in data science, advanced analytics, or applied statistical modeling. We require experience using Python, R, and SQL for data analysis, modeling, and data manipulation. We require experience applying machine learning methods and statistical techniques to real-world datasets. We require experience working with large, complex datasets in logistics, maintenance, supply chain, or readiness environments. We require experience creating visualizations and dashboards with Qlik or similar tools. We require experience working in cloud or big data environments such as Databricks or comparable platforms. We require experience in Agile or iterative delivery settings. We require experience supporting government or defense clients, with Navy experience preferred. We require the ability to work onsite in a client environment as needed. Nice to have: familiarity with deploying models or embedding analytics into operational workflows. Nice to have: a strong foundation in statistics, mathematics, or quantitative analysis, such as regression, hypothesis testing, or time series analysis. Nice to have: experience with statistical modeling and machine learning. Nice to have: the ability to turn complex analytical outputs into actionable recommendations for stakeholders. Nice to have: experience with data platforms such as Palantir Foundry or similar environments. Nice to have: data analysis and interpretation skills. Nice to have: programming experience in Python, R, and SQL. Nice to have: data visualization experience with Qlik, Tableau, Power BI, or similar tools. Nice to have: experience with big data platforms such as Databricks, Snowflake, AWS, Azure, or Palantir Foundry. Responsibilities: We develop, implement, and validate statistical models and analytical methods to support client mission objectives. We conduct exploratory data analysis to uncover trends, patterns, and anomalies in large, complex datasets. We design and deploy predictive and prescriptive models to support data-driven decisions. We apply advanced analytics to Navy-related areas including logistics, maintenance, and operational readiness. We work with data engineers, developers, and stakeholders to operationalize models in production environments. We translate business questions into analytical approaches and communicate findings clearly to both technical and non-technical audiences. We build and maintain reusable analytical frameworks, code libraries, and model pipelines. We apply machine learning techniques to classification, regression, clustering, and optimization challenges. We develop dashboards and visualizations, including Qlik applications, to communicate insights and model results effectively. We perform model validation, tuning, and performance monitoring to maintain accuracy and reliability. We document methods, assumptions, and results to ensure transparency and reproducibility. Technologies: AWS Azure Big Data Cloud Databricks Support Machine Learning Power BI Python Qlik SQL Security Snowflake Tableau More: We are Guidehouse, and we offer a comprehensive total rewards package with competitive compensation and a flexible benefits program designed to support a diverse workplace. Our benefits include medical, Rx, dental, and vision insurance; paid sick time and company holidays; potential discretionary incentive bonuses; parental leave and adoption assistance; a 401(k) retirement plan; life insurance; health savings and flexible spending accounts; short- and long-term disability; student loan paydown; tuition reimbursement; personal development and learning opportunities; skills development and certifications; employee referral programs; corporate-sponsored events and community outreach; emergency back-up childcare; and a mobility stipend. We are an Equal Opportunity Employer and consider qualified applicants with criminal histories in accordance with applicable law. This role is in Data Science Consulting, requires up to 10% travel, and involves onsite work in a client environment as needed. last updated 36 week of 2026