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Parsons

Digital infrastructure and security solutions provider

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA$112.2k - $196.4kIn-person

About the Job

Requirements

  • An active Top Secret/SCI security clearance is required at the time of hire.
  • A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required.
  • A minimum of 3–5 years of experience in data science, machine learning, or advanced analytics roles is required.
  • Proficiency in Python, R, or similar languages for statistical analysis and model development is required.
  • Experience developing and deploying AI/ML models, including supervised and unsupervised learning techniques, is required.
  • A strong understanding of data security, governance, and compliance in federal or Department of Defense environments is required.

Responsibilities

  • Design, develop, and operationalize predictive models, machine learning algorithms, and advanced analytics to solve mission-critical Department of Defense use cases.
  • Perform data exploration, feature engineering, and statistical analysis using large, complex datasets from diverse sources.
  • Collaborate with data engineers, product managers, and mission stakeholders to define requirements and deliver impactful solutions.
  • Deploy, monitor, and sustain AI/ML models in secure Department of Defense environments, ensuring performance and compliance with Department of Defense standards.
  • Visualize and communicate analytical results to senior leaders, supporting operational decision-making and strategic planning.
  • Lead and mentor junior data scientists, fostering innovation and best practices in model development and analytics.

Desired Qualifications

  • Experience with Palantir Foundry, Microsoft Mission Support Systems (MSS), Qlik, Databricks, War Data Platform (WDP), or Advana.
  • Proficiency with Power Platform or Power Apps for integrating analytics with decision workflows.
  • Advanced visualization skills using tools such as Tableau, Qlik, or Power BI.
  • Familiarity with cloud analytics platforms such as AWS, Azure, or GCP, and scalable model deployment.
  • Experience supporting operational Department of Defense analytics, AI/ML, or data-driven mission applications.
  • An advanced degree or certifications in data science, machine learning, or cloud analytics.
  • Leadership experience mentoring data science teams or managing analytics projects.

About the Company

Parsons

Digital infrastructure and security solutions provider

Parsons provides digitally enabled solutions in national security, defense, and global infrastructure. Its work spans government and commercial clients, offering services in systems and software engineering, quality assurance, compliance, and security, along with large-scale infrastructure projects and advanced technology implementations. The company helps clients by delivering long-term, contract-based engagements that include AI readiness, data preparation for AI applications, and secure, reliable systems. A key differentiator is its breadth across diverse markets and its emphasis on rigorous systems engineering, QA, compliance, and security to ensure the integrity of critical operations while harnessing AI to improve efficiency and safety. Parsons’ goal is to solve complex security and infrastructure challenges through measurable, value-driven solutions and long-lasting partnerships with clients.

Company size
10,001+
Company stage
IPO
Headquarters
Chantilly, VA
Founded
1944

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