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Salary
≈ $120k – $227k per year (Estimated)
Location
Hybrid (Chantilly, United States)
Seniority
Senior · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. Fantom Corporation scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Fantom Corporation is an American IT services contractor that supports federal, defence and intelligence community programmes as well as commercial clients. It provides network engineering, data architecture, cloud, software development and systems administration, with staff in Chantilly, Hanover and McLean. The company is headquartered in Leesburg, Virginia, United States.

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

We are seeking a Senior Data Scientist to support a mission-critical enterprise. This role is responsible for developing machine learning models and advanced analytics solutions.

Responsibilities

  • Create Artificial Intelligence capabilities to power intelligent products and data-driven decision making.
  • Empower AL/ML to operate across the full model lifecycle from data exploration and feature engineering to validation and refinement.
  • Monitor system health, user metrics, performance, and operational availability

Required Qualifications

  • Must possess an active Top Secret Clearance
  • Must be willing and able to obtain a polygraph
  • Bachelor’s degree with 10+ years of relevant experience, or Master’s degree with less than 2 years of relevant experience
  • Strong experience with AL/ML.
  • Versed in Python, working in large data sets, Advanced SQL and AWS and Azure exposure
  • Strong technical expertise with mentorship responsibilities and delivering process optimization.
  • Cross team collaboration and using secure software development practices.
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