Guidehouse data scientist jobs
- Open jobs
- 24
- First seen in the last 30 days
- 8
- Median days open, by our records
- 49
- Reposted
- 8%
What these jobs say
- Where
- Arlington, Virginia 7, Norfolk, Virginia 3, Bethesda, Maryland 2, Chantilly, Virginia 2, Mechanicsburg, Pennsylvania 2, Washington, District of Columbia 2
- Work setting
- On site 5, Remote 2
- Level
- Junior 2, Mid-level 12, Senior 5, Lead 1, Principal 2
- Tools named most
- Python 22, SQL 21, R 16, Databricks 15, Power BI 14, Tableau 14, Azure 11, AWS 10
- Experience asked
- 3 years at least, at the median of 22 jobs that say
Teams hiring and what the work is
- Data Science Consulting
Build predictive models, forecasting tools, and machine learning solutions for logistics and readiness analytics.
Data Scientist II - Operational Effectiveness
Lead the development of entity resolution, knowledge graph, search and AI-enabled discovery tools that turn complex data into operational and analytical insights.
Senior Data Scientist - AI and Data Defense and Security team
Analyze large datasets with Python, R and SQL, build Power BI dashboards, and spot patterns that support investigations and operational decisions for the Department of Homeland Security.
Data Scientist - National Security - Risk & Regulatory Compliance Consulting
Prepare and analyze large financial datasets to find trends, anomalies and investigative leads for AML and illicit finance cases.
Financial Investigations Data Scientist (Consultant) - Data and Analytics consulting (Data Science Consulting)
Build and deliver data science, analytics and BI work for Guidehouse clients, from data prep and dashboards to predictive models.
Data Scientist Senior Consultant - AI & Data team
Build, train, and evaluate machine learning and statistical models on Databricks, and support client projects with insights and data-driven recommendations.
Databricks Data Scientist
Open jobs
Counts cover every open data scientist job we read from Guidehouse's own careers site, last checked Nov 10, 2026. The role is the one the work describes, whatever the title says. Ages use the day we first saw each job. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system. How we count Report an error