Data Scientist - Junior
US - VA, Arlington
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign solutions for Federal clients based on their mission needs
Develop products and solutions with Python, SQL, LLMs, Tableau and Databricks
Automate processes using Power Automate when appropriate
Translate technical findings for technical and non-technical audiences, including leadership
Support RFP, RFQ, and RFI responses and white papers
From the employer’s posting
design solutions for Federal clients
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.
Support internal initiatives and business development including RFP, RFQ, and RFI responses and white papers.
What you’ll bring
All qualificationsCore experience
- Active SECRET or higher security clearance
- Bachelor's degree in a relevant technical field
- Two years of data science, data engineering, or data analytics experience
- Python for connecting and wrangling data
- Experience designing and developing ETL/ELT data pipelines
Preferred 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.
Qualification wording
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 designing and developing ETL/ELT data pipelines.
Experience working in Databricks.
Strong understanding of statistics and statistical methods.
Understanding of Natural Language Processing.
Familiarity with Databricks platform for conducting data science.
Education & alternatives
- 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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Docker
- Power BI
- Tableau
Source — Tool mentions in context
Active Secret What You Will Do: Apply strong technical skills and a mission‑focused mindset to understand client needs, identify opportunities, and design solutions for Federal clients. 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:
- 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 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.
- 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 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.
- 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.
- 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.
- 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.
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Sep 4, 2026 · 51 days ago
- Recorded sightings
- 107
- Last seen by us
- Oct 25, 2026
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Job description
Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do:
Apply strong technical skills and a mission‑focused mindset to understand client needs, identify opportunities, and design solutions for Federal clients. 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.
Experience with graph analytics, network analysis, or graph data modeling.
Relevant experience supporting Department of State or other Federal Government organizations.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
US - VA, Arlington
- 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:
- Work authorization
What You Will Need: - Active SECRET or higher security clearance. - Bachelor’s degree in a relevant technical field.
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