0-5 years (Junior), 5-10 years (Intermediate), or 10+ years (Senior) experience in data science or related fields
Proficiency in data analysis, statistics, and AI/ML techniques
Strong communication skills for conveying data insights
Experience with data preparation, modeling, and visualization
Attention to detail and strong problem-solving abilities
Responsibilities
Prepare, clean, and explore structured and unstructured data
Develop analytic approaches and models to meet mission needs
Evaluate model performance and support validation activities
Create visualizations and reports to communicate findings
Assist with data quality assessment and documentation
Collaborate with stakeholders to refine requirements
Benefits
100% onsite work in Chantilly, VA or Aurora, CO
Opportunity to work on mission-critical projects
Engagement with a collaborative team environment
Access to advanced data science tools and technologies
Potential for career growth within a strategic organization
Full Job 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
Requirements
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
