Data Scientist

About the role

We are seeking a Data Scientist or Senior Data Scientist to join our cross-functional product development teams. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, aiming 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.

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.

Requirements

• Strong quantitative background with a Bachelor’s degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred.
• 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).
• 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, Scoping and planning data science projects, Navigating technical limitations, Iterating to solve hard questions, Learning quickly and independently, Proposing pragmatic solutions that are as simple as possible and can be iterated upon, Comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, Embedded in a product team as owner of data science innovations to the product.
• Communication, Strong written and verbal communication skills to both technical and non-technical customers, Experience participating in meetings with a multitude of stakeholders (e.g., Product, Engineering, Operations, Management), Crisp communication at all levels of technical expertise, Mastery of English is required for this role, including communication at all levels of technical expertise.

Qualifications

• Cleared to obtain a clearance.
• Up to 10% travel.

Skills

• Background in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field.
• Experience with Python programming language.
• Experience with agentic and generative AI.
• Experience with Machine Learning.
• Experience with code version control.
• Experience with Agile methodology and Jira.
• Experience with statistical tests, distributions, and maximum likelihood estimators.
• Experience with software development processes and tools.
• Experience with English communication at all levels of technical expertise.

Benefits

We offer a competitive and comprehensive compensation package that reflects the value we place on our employees and their contributions. 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.

Pay

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.