Parsons-posted 2 days ago
Full-time • Mid Level
Dc, WA
5,001-10,000 employees

Parsons is looking for an amazingly talented Data Scientist to join our team! In this role you will get to design and operationalize AI/ML workflows in Maven Smart Systems to anticipate emerging threats, streamline intelligence processes, and deliver actionable insights that directly support the Joint Staff J2’s warning problem management mission.

  • Designing, developing, and operationalizing AI/ML workflows with Maven Smart Systems (MSS) to directly support J2's Warning Problem Management mission
  • Leveraging MSS to build predictive models, automation pipelines, and analytics that transform raw intelligence data into actionable insights
  • Translating mission requirements into strategic workflows that anticipate threats and enable senior leader decision advantage
  • Collaborating with analysts, engineers, and platform developers to ensure AI/ML solutions are relevant, scalable, and ethically aligned with DoW standards
  • Shaping the long-term vision for AI/ML workflow integration across J2 Warning Problem Management, and serving as the SME for this capability
  • Active TS/SCI clearance with ability to upgrade to a CI Poly which requires US citizenship
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (master's preferred)
  • 5 years of applied data science AI/ML experience, with leadership in operational deployments
  • Hands on experience in Maven Smart Systems (MSS) is required
  • Ability to leverage MSS for building AI/ML models, automation pipelines, and operational workflows
  • Proficiency with statistical and MLOps frameworks (Python, R, TensorFlow, PyTorch, scikit-learn)
  • Familiarity with structured, semi-structured, and unstructured intelligence data
  • Advanced degree in Data Science, Computer Science, or related field
  • DoW/Joint Staff knowledge and understanding of military staff structures, Joint processes, and document formats (e.g., white papers, EXSUMs, Information Papers)
  • Strategic mindset to design workflows that align with the Joint Staff J2 mission
  • Strong ability to bridge tactical-level technical work with enterprise-level strategic outcomes
  • Familiarity with commercial data sources
  • Excellent communication skills to present findings and recommendations to senior leaders, analysts, and technical teams
  • AI/ML Familiarity in understanding of machine learning concepts, GPT applications, or RAI (Responsible AI) frameworks to better contextualize products
  • medical
  • dental
  • vision
  • paid time off
  • 401(k)
  • life insurance
  • flexible work schedules
  • holidays
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