Drimva

Two Six Technologies

Senior Data Scientist (Onsite)

$150K–$200K

Arlington, Virginia +1 · Senior · Full-time · Posted Oct 5, 2026

Location
Arlington, Virginia
Arlington, Virginia, United States
Experience
5+ years in a Data Science role, or 2+ years with a PhD; includes 3+ years with Python and machine learning.
Education
Bachelor’s degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field; higher degrees preferred.

About the job

Develop data science prototypes and solutions for customer needs in information operations, applying analytical methods and AI while working with customers and internal teams.

What you'll do

  • Translate customer needs into data science or engineering solutions, and prototype and evaluate potential approaches.
  • Apply statistical reasoning, modeling, machine learning, text analytics, network analysis, and visualization to produce insights.
  • Support customer-facing technical work, including experiments, ad-hoc analyses, and installation and upkeep of capabilities on customer systems.

What they ask for

  • Active Top Secret clearance with SCI Eligibility and ability to obtain and maintain a polygraph.
  • Bachelor’s degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or a similar field.
  • 5+ years experience in a Data Science role, or 2+ years with a PhD.
  • 3+ years experience with Python programming (Intermediate-level or higher) and machine learning.

Nice to have

  • Higher degrees, polygraph, and direct customer support experience.
  • Experience with agentic and generative AI, deployment operations, software development tools, or project ownership.

Pay

$150,000 — $200,000 USD (base salary)

Tools

Python, LangChain, LangGraph, Model Context Protocol, Agent2Agent Protocol, Docker, Kubernetes, OpenShift

AI focus

Use and evaluate machine learning, deep learning, and AI solutions; preferred work includes building and evaluating agentic systems, using LLMs in analytical pipelines, prompt engineering, and training or fine-tuning LLMs.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)