Senior Data Scientist (Onsite)

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’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.

• Clearance: Active Top Secret Clearance with SCI Eligibility (Polygraph preferred)

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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

$150,000—$200,000 USD

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Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

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