Senior Data Scientist (Onsite)

twosixtechnologies; Arlington (VA); In loco; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Two Six Technologies is seeking an experienced Cleared and On-site Data Scientist to join our customer success team in the DC metro area. You will work with SMEs to translate customer needs into data-driven solutions and prototypes using cutting-edge AI, ML, and analytics.

The role emphasizes autonomy, direct customer engagement, and collaboration with product teams to deliver insights for US government and Fortune 50 clients.

Competenze

• Strong quantitative background with a relevant degree.
• 5+ years of data science experience; 2+ with a PhD.
• Active TS clearance with SCI eligibility; polygraph preferred.
• Strong statistics, ML/AI knowledge and domain understanding.
• Excellent written and verbal communication; customer-facing experience.

Mansioni

• Turn customer needs into data science solutions with SMEs.
• Develop high-quality prototypes and evaluate potential solutions.
• Lead projects spanning statistics, modeling and software development.
• Apply ML/DL, network analysis, multilingual text analytics and visualization.
• Represent technical rigor to varied audiences.
• Design experiments to validate data sampling/collection strategies.
• Support installation and upkeep on customer systems.

Conoscenze

Python

Machine learning

Data analysis

Statistical modeling

Communication

Customer-facing

Formazione

Bachelor's degree in Physics/CS/Math/Stats/Engineering

PhD preferred

Strumenti

Docker

Kubernetes

AWS

Git

LangChain

Descrizione del lavoro

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity

Two Six is searching for an experienced Cleared and On-site Data Scientist to join our customer success team here at Two Six Technologies. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space. 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.

In this role, you will work autonomously and with our subject matter experts (SMEs) to tackle challenging problems and find creative solutions with cutting‑edge technology. You will work directly with customers while serving as the technical translator to our internal and external stakeholders. The role is a great fit if you're motivated by autonomy, innovation, and interfacing directly with end‑users to contribute to national security challenges.

The candidate must be local to the DC Metro area and willing to work up to 4 days/week at Two Six offices or on customer sites. All sites are in Northern Virginia and Laurel, MD.

The work requires an Active Top Secret Clearance with SCI Eligibility (Polygraph preferred).

Responsibilities

• Work with customers, subject matter experts, and our Product team to turn abstract customer needs into concrete data science and/or engineering solutions.
• Experiment with and evaluate potential solutions to develop high-quality prototypes.
• Be responsible for projects that span statistical and mathematical reasoning, modeling & simulation, and software development.
• 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.
• Represent Two Six's technical and methodological rigor to a range of audiences from technical novices to experts.
• 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 success teams.
• Support the installation, configuration, and upkeep of Two Six and custom capabilities on customer systems.

Minimum Qualifications

• Education: Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred.
• Experience: 5+ years experience in a Data Science role (or 2+ with a PhD), including 3+ years experience with Python programming language (Intermediate-level or higher) and machine learning.
• Clearance: Active Top Secret (TS) with SCI Eligibility; ability to obtain and maintain a polygraph.
• Domain Knowledge: Strong understanding of statistics, quantitative social science methods, and/or machine learning and AI.
• Communication Skills: Strong written and verbal communication skills, with an ability to translate complex technical concepts into easy‑to‑understand explanations. Preference for candidates with direct customer support experience.
• Clearance: Active Top Secret Clearance with SCI Eligibility (Polygraph preferred)

Additional skills and experience that will help you thrive in this role:

• Experience with Machine Learning, including:
• Feature selection/engineering
• Model training
• Model evaluation
• Supervised and Unsupervised ML
• Simulation
• Anomaly detection
• Previous experience with code version control
• Familiarity with software development processes and tools like the Agile methodology and Jira
• 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
• Deployment and Operations Experience, including:
• Deploying, configuring, and troubleshooting software, tools, or applications
• Working with containers (e.g., Docker) and container orchestration platforms (e.g., Kubernetes, OpenShift)
• Working with Linux command line
• Working within cloud environments (e.g., AWS, Azure)
• Packaging and moving software, models, and dependencies into disconnected or air‑gapped networks
• Monitoring, logging, and diagnosing issues in deployed systems
• Project Ownership
• You are comfortable leading solutions for ambiguous tasks and complex proble