Data Scientist

Description

The team uses data and analytics to address national security problems. This program supports geographic and functional Combatant Commands with analysis, advice, and operational work.

The work centers on the information environment and irregular warfare, turning large volumes of data into insights for mission partners and senior decision makers.

You would work alongside intelligence, operations, research, and technology staff on changing global threats.

Openings are at the Journeyman and Senior levels.

Responsibilities

• Study large, varied datasets to set baselines, spot patterns and trends, define indicators, and inform operational decisions.
• Build repeatable analysis workflows and automation in Python, R, and similar tools to speed up finding, processing, and studying data.
• Use statistical and quantitative methods such as regression, hypothesis testing, sampling, longitudinal and network analysis, modeling, and reliability and validity checks.
• Build prototypes, scripts, and tools that improve how data is collected, processed, integrated, displayed, and summarized.
• Apply AI, machine learning, and natural language processing to structured and unstructured sources such as text, survey responses, social media, and operational reports.
• Run qualitative and mixed-methods work, including thematic coding, classification, sentiment analysis, and NLP-supported review.
• Create dashboards, charts, and analytic products that explain findings to operational leaders and stakeholders.
• Combine analytic results with intelligence and operational reporting to set baselines, measure effects, track emerging trends, and assess OIE and IW activity.
• Maintain and improve analytic datasets, databases, metadata, and longitudinal data so analysis can be repeated.
• Apply geospatial analysis and mapping to study information environment dynamics, geographic patterns, and audience characteristics.
• Use automated collection and analytics, including AI, ML, and NLP, on social media and public data to assess reach, behavior, trends, and effects.
• Help design research and assessments, including methods, collection strategies, criteria, and measures of performance and effectiveness.
• Work with cross-functional teams to turn mission needs into data-driven analytic solutions.

Requirements

• Bachelor's degree in data science, statistics, computer science, mathematics, engineering, operations research, economics, or another quantitative or analytic field.
• TS/SCI clearance is required to start.
• 3+ years of relevant professional experience running quantitative, qualitative, statistical, or data science analysis in operational, intelligence, research, or similarly complex settings. The level will depend on education, experience, and demonstrated technical skill.
• Proficiency in Python and/or R for statistics, data processing, automation, modeling, or building analytic tools.
• Experience applying methods such as regression, hypothesis testing, sampling, longitudinal analysis, clustering, classification, or predictive modeling.
• Experience working with structured, semi-structured, and unstructured datasets.
• Experience building data visualizations, dashboards, or analytic products that turn complex findings into actionable insights.
• Experience managing data, including analytic datasets, databases, metadata, or longitudinal data.
• Ability to combine quantitative findings with operational, intelligence, research, or assessment information.
• Strong analytic and problem-solving skills, with the ability to explain technical findings to technical and non-technical audiences.
• Ability to obtain DoD 8570/8140 IAT Level II certification within 90 days of hire, if the position requires it.
• Desired: prior experience supporting DoD, the Intelligence Community, Combatant Commands, or other national security missions.
• Desired: experience supporting OIE, IW, information operations, intelligence, or operational assessment missions.
• Desired: experience developing or applying machine learning models, NLP pipelines, generative AI, or other advanced analytics.
• Desired: experience with automated data collection, web scraping, APIs, or social media analytics.
• Desired: experience with geospatial tools such as ArcGIS, QGIS, GeoPandas, or other Python geospatial libraries.
• Desired: experience with visualization or business intelligence platforms such as Tableau, Power BI, Plotly, or similar tools.
• Desired: familiarity with operational assessment frameworks, including MOPs, MOEs, and MOEIs.
• Desired: experience with research design, experimental or quasi-experimental methods, survey analysis, or mixed-methods research.
• Desired: current Security+, CySA+, CCNA Security, or equivalent DoD 8570/8140 certification.
• Desired: experience operating in NIPR, SIPR, JWICS, or other classified environments.

Conditions

Full-time, regular role with up to 10% local travel.

Applications are accepted on an ongoing basis, so there is no set end date.

The position depends on funding and may not be filled right away. It reflects roles the company regularly has open, and applicants may be considered for other positions.

The salary range is $82,100-$172,400. This is the national average because the role can be based in more than one location.

Final pay depends on factors such as location, Federal Government contract labor categories and wage rates, relevant prior experience, specific skills, education, and certifications.

Benefits

• Comprehensive benefits including healthcare, wellness, financial, retirement, family support, continuing education, and time off.
• Flexible time off so you can take the time you need.
• Access to learning resources to support your career goals.