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XMSTART

Data Scientist

XMSTART Aurora, Colorado, 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 that support decision-making and mission performance. Responsibilities include cleaning data, developing analytic models, creating visualizations, and collaborating with stakeholders to refine requirements.

What they look for

Data analysis Modeling AI ML Data cleaning Data exploration Analytic approaches Data visualization Data quality assessment Data management Documentation Statistics Problem-solving Reporting Stakeholder collaboration

Requirements

Candidates must have 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 effectively communicate findings and manage data quality.

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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