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XMSTART

Data Scientist

XMSTART Chantilly, Virginia, United States

IT Services and IT Consulting · 51-200 employees

9 h ago
data-scientist Principal (10+ yrs) Full-time United States
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About the role

The Data Scientist will apply AI/ML techniques and data modeling to extract insights and support mission-critical decision-making. Responsibilities include cleaning data, developing analytic models, and communicating findings through visualizations and reports.

What they look for

Data Analysis Modeling Artificial Intelligence Machine Learning Statistics Data Cleaning Data Visualization Problem-solving Data Quality Assessment Data Management Reporting Stakeholder Collaboration

Requirements

Candidates must possess an active TS/SCI with Polygraph clearance and experience in data science, analytics, or statistics. The role requires strong problem-solving skills and the ability to manage the full data lifecycle from preparation to validation.

Full description

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

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