MANTECH
AI

Data Scientist

MANTECH · Hālawa, HI, US

Actively hiring Posted 5 months ago

MANTECH seeks a mission-driven and innovative Data Scientist to join our team in Oahu, Hawaii. In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational effectiveness. This role directly supports national defense priorities and partners with key mission stakeholders.

Responsibilities include but are not limited to:

  • Design and deploy predictive models, data pipelines, and statistical analyses to inform mission decisions.
  • Translate data into actionable intelligence for both technical and non-technical audiences, contributing to strategic and operational planning.
  • Leverage AI/ML technologies to build models that support command objectives, including readiness assessments, resource optimization, and mission planning.
  • Collaborate with multi-functional teams including data engineers, logisticians, and operations planners to deploy and refine ML models using Government MLOps platforms.
  • Develop advanced data visualizations to enhance situational awareness and enable faster, informed decision-making in distributed environments.
  • Document methodologies and processes to ensure reproducibility, knowledge sharing, and seamless transition across analytic teams.
  • Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 9+ years of relevant experience, including 4+ years leading data science initiatives and developing predictive models
  • Proficiency in Python, R, or similar languages for statistical analysis and model development
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP)
  • High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree

Preferred Qualifications:

  • Master’s or Ph.D. in a quantitative discipline
  • Experience supporting Department of Defense and/or Intelligence Community missions
  • Familiarity with geospatial tools such as ArcGIS or QGIS
  • Experience with containerization (e.g., Docker) and DevSecOps pipelines
  • Working knowledge of Agile development methodologies and Git-based version control

Clearance Requirements:

  • Must hold an Active TS/SCI clearance.

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Machine Learning Data Science Data Engineer Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.