Data Scientist

Two Six Technologies · Arlington, Virginia · Data

Posted 2026-07-09

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We’re looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, and aim to provide a complete end-to-end solution to customers wishing to detect, analyze, and respond to events in real time. We combine signal-rich proprietary data, novel AI-powered technology, and world-class expertise to deliver valuable insights to our US government and Fortune 50 clients.

We’re seeking a curious and passionate Data Scientist who will help our customers discover the information hidden in vast amounts of data to sense, make sense, and act in the Information Environment. In this role, you will work autonomously to find creative solutions and tackle challenging problems with cutting-edge technology, with a current focus on Agentic AI. The role is a great fit if you’re motivated by autonomy, innovation, and mission-focused data problems in uncharted territory to advance missions of national security.

As a part of the Data Science team you’ll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling methodologies, multi-language NLP, data visualization, and more.

Responsibilities

Work with our product and customer support teams to turn abstract customer needs into concrete data science and/or engineering problems

Experiment with and evaluate potential solutions to develop high quality prototypes

Work with our engineering team to turn prototypes into scalable production-level software

Work on agentic systems – designing prototypes, adding tools, evaluating effectiveness

Be responsible for projects that span statistical and mathematical reasoning, business communications and leadership, and software development

Contribute to the product roadmap both near-term tactical and  longer-term strategic levels

Experiment with a range of data science techniques to produce insight, including machine learning, deep learning, network analysis, sampling methodologies, text analytics in multiple languages and data visualization

Design and execute experiments to evaluate the integrity of our data sampling and data collection strategies

Work on ad-hoc analyses or build prototype tools to support our subject matter expert and customer support teams

Participate in strategic discussions about the direction data science should be taking the company

Here are some of the skills and experience that will help you thrive in this role:

Background

Strong quantitative background with Bachelor’s degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred

You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher)

Technical

Experience with agentic and generative AI. Examples include

Building agentic systems

Building tools for agentic systems

Evaluating agentic systems and/or generative AI solutions

LangChain and/or LangGraph frameworks

Model Context Protocol and Agent2Agent Protocol

Prompt engineering

Leveraging LLMs within analytical pipelines

Training or fine-tuning LLMs

Experience with Machine Learning, including

Feature selection/engineering

Model training

Model evaluation

Supervised and Unsupervised ML

Simulation

Anomaly detection

A good understanding of statistics, including familiarity with statistical tests, distributions, and maximum likelihood estimators

Previous experience with code version control

Familiarity with software development processes and tools like the Agile methodology and Jira

Project Ownership

You’ve scoped and planned data science projects and have the ability to creatively navigate technical limitations, iterate to solve hard questions, and learn quickly and independently.

You are comfortable leading solutions for ambiguous tasks and complex problems, and are capable of independently providing solutions that fit within the business strategy.

You propose pragmatic solutions that are as simple as possible and can be iterated upon

You're comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, while embedded in a product team as owner of data science innovations to the product.

Communication

You have strong written and verbal communication skills to both technical and non-technical customers. You have experience participating in meetings with a multitude of stakeholders (e.g., Product, Engineering, Operations, Management) and can communicate in a crisp manner. Mastery of English is required for this role, including communication at all levels of technical expertise.

Clearance: Must be eligible and willing to obtain a clearance.

Travel: Up to 10% Travel

#LI-MS1

Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.

The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.

Salary Range

$100,000—$150,000 USD

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