Data Scientist Subject Matter Expert (SME)

Team: Cyber Analytics

Location: Washington, DC

Commitment: Full-Time

Workplace Type: onsite

Key Responsibilities

•  Lead and design machine learning, statistical analysis, and complex data science projects across multiple workstreams.
• Collaborate directly with internal and external government stakeholders to diagnose system workflows and implement high-impact modernization strategies.
• Architect innovative methodologies to ingest, analyze, and exploit large volumes of law enforcement, intelligence, investigative, and business data.
• Develop custom mathematical models, data structures, algorithms, and specialized software code to optimize enterprise search and data discovery.
• Utilize programming languages such as Python to build production-ready scripts for automated data collection, cleaning, and processing.
• Design, test, and validate data quality frameworks and automated verification pipelines to ensure analytical integrity.
• Coordinate across multi-disciplinary engineering and functional teams to deploy predictive models and evaluate operational impact.
• Analyze multi-source data outputs and deliver clear, actionable recommendations to senior agency leadership.
• Develop intuitive data visualizations, infographics, dashboards, and executive summaries to communicate technical findings to non-technical leaders. 

Required Experience/Clearance

• 10 years of experience as a Data Scientist, Data Engineer, or Developer acting as a technical development lead for collecting, cleaning, and analyzing massive datasets to build predictive models.
• 10 years of experience in software development and programming across multiple languages, statistical packages, dataset manipulation tools, and Artificial Intelligence/Machine Learning (AI/ML) frameworks.
• 8 years of experience utilizing data systems to acquire, extract, and structure data for research, exploration, and statistical analysis.
• 8 years of experience analyzing, interpreting, and discovering patterns in complex datasets using exploratory data analysis techniques.
• 8 years of experience cleaning, manipulating, munging, and sub-setting large-scale structured and unstructured data. 
• 8 years of experience communicating technical findings, risk assessments, and analytical results to non-technical audiences using summary visualizations and tables.
• Demonstrated ability to rapidly learn emerging technologies and operate effectively both independently and in mission-critical team environments.
• Active Top Secret/SCI with CI Poly. 

Desired Experience

We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
• Bachelor’s or Master’s degree from an accredited college or university in Mathematics, Computer Science, Data Science, Physical Science, or a related quantitative discipline.
• 8 years of experience applying cutting-edge data mining, machine learning, and predictive analytics techniques to correlate disparate events and multi-source datasets.
• Natural Language Processing (NLP) expertise, including large-scale document mining and parsing unstructured textual data into structured databases.
• Product-agnostic database and enterprise search administration for large-scale data exploitation.
• Advanced statistical modeling, hypothesis testing, and time-series trend analysis capabilities.
• Demonstrated adaptability and problem-solving skills in resource-constrained environments with limited access to enterprise cloud infrastructure or commercial-scale compute.
• Specialized experience in Geospatial analysis, Computer Vision (CV), or multi-source Sensor Fusion.