Junior Data Scientist
Guidehouse
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Data visualizationData analysisBudgetingPower BIPythonR
- Work
- On-site in Washington
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis47%Data visualization45%Power BI31%Budgeting18%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 28, 2026 · still open
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About the Role
Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high-performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission-critical insights and data-driven decision-making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands-on technical expertise and strong communication skills.
Key Responsibilities
- Design and development of data visualization and dashboard solutions to provide required analytics insights using Power BI.
- Leading and reviewing data cleaning scripts using tools such as R and Python.
- Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making.
- Balance competing priorities including supporting quick-turn and ad-hoc requests.
- Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.
Requirements & Tech Stack
- Ability to OBTAIN and MAINTAIN a Federal or DHS Public Trust.
- Bachelor's Degree.
- Experience with R or Python.
Qualifications
- Strong communication and presentation skills and ability to explain technical topics to non-technical audiences.
- Experience working with hiring or operational data.
- Strong UI/UX capabilities for dashboard development.
- Familiarity with PowerApps.
- Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google).
- Experience performing analytics and data transformation using R and Python.
- Ability to gather requirements and present to clients with strong written and verbal communication skills.
- Knowledge of ETL/ELT processes and tools for data integration.