Data Scientist
Xmstart
Chantilly, VA · Posted November 11, 2026
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More in Virginia job market · Data Scientist jobs in Virginia (56) · All Data Scientist jobs (351) · Data & Analytics jobs
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Where Chantilly, VA ranks
Where Chantilly, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for pay after cost of living in the Mid-Atlantic$192k · of 37
- #1Best cities for pay after cost of living in the Southeast$192k · of 33
- #1Best cities for pay after cost of living in Virginia$192k · of 15
- #2Best all-round cities for mid-career professionals in the Mid-Atlantic78 / 100 · of 37
- #4Best cities for mid-career professionals66% · of 100
- #5Best cities for engineering pay after cost of living$198k · of 94
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 75 open data scientist listings that state pay, the middle half runs $130,000 to $191,500 and the median is $154,000.
Listed pay is what employers advertise, not what people are paid.
About the job
XMSTART is looking to add experienced and strategic full-time Data Scientists to our teams in Chantilly, VA and Aurora, CO. These positions are 100% onsite.
The Data Scientist applies data analysis, modeling, and AI/ML techniques to help extract insight from data, supporting decision-making, and improve mission performance and business processes.
Responsibilities may include but are not limited to:
Preparing, cleaning, and exploring structed and unstructured data
Developing analytic approaches, features, and models to address mission needs
Evaluating model performance and supporting validation or testing activities
Creating visualizations, summaries, and reports to communicate findings
Assisting with data quality assessment, data management, and documentation
Collaborating with stakeholders to refine requirements and support decision-making
An active TS/SCI with Poly
Junior – 0 to 5 years of Experience, Intermediate – 5 to 10 years of Experience, Senior – 10+ years of experience
Experience in data science, analytics, statistics, AI/ML, or a related field
Ability to analyze data and communicate findings clearly
Familiarity with data preparation, modeling, evaluation, and visualization practices
Strong problem-solving skills and attention to data quality