> Markdown version of [/jobs/ext/3797786-data-scientist-jr](https://www.wearedevelopers.com/jobs/ext/3797786-data-scientist-jr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist - Jr.

- **Company:** Guidehouse Inc.
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Software Tools, SQL Databases, Tableau (Software), Microsoft Power Automate, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Containerization, Data Analytics, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/1_guidehouse2-43991

## About the Role

Leverage tools such as Python, SQL, LLMs, and Tableau and platforms such as Databricks to develop products and solutions.
Automate processes using Power Automate when appropriate.
Communicate clearly to translate technical findings for both technical and non-technical audiences, including leadership.
Engage directly with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward.
Support internal initiatives and business development including RFP, RFQ, and RFI responses and white papers. **What You Will Need** **:** + Active SECRET or higher security clearance. + Bachelor's degree in a relevant technical field. + TWO (2) years of Data science, data engineering or data analytics experience. + Proficiency in connecting data sources and wrangling data using Python. + Experience in querying and wrangling data using SQL. + Experience designing and developing ETL/ELT data pipelines. + Experience utilizing Large Language Models and prompt engineering. + Experience in developing and deploying AI/ML models using Python. + Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS. + Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area. **What Would Be Nice To Have** **:** + THREE (3) years of relevant professional experience. + Experience working in Databricks. + Strong understanding
of statistics and statistical methods. + Understanding of Natural Language Processing. + Familiarity with Databricks platform for conducting data science. + Familiarity with development involving APIs. + Ability to learn new software tools. + Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation. + Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership. + Ability to develop and conduct technical training. + Familiarity with RAG methods and development. + Understanding of AI/ML model containerization, such as with Docker. + Proficiency in developing data visualizations and dashboards using Power BI or Tableau, applying best practices. + Experience automating data analytics and other business processes using Power Automate. + Proficiency using source control and collaborative development practices. +