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Senior Data Scientist with Security Clearance
MANTECHSpringfield, VA🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
On Site
Schedule
Employee
Level
Mid Senior
Job Description
MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA. This role is 100% on-site. The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis-from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives. Responsibilities include but are not limited to: * Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.
* Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
* Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
* Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
* Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
* Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
* Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators. Minimum Qualifications: * 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a
* Master's Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience
* Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
* Mastery of data visualization and dashboard development using data sets from various sources.
* Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
* Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
* Proficiency in creating and editing visual content such as charts and graphs to represent data.
* Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization. Preferred Qualifications: * Experience in a leadership or mentorship role within a data analytics or business intelligence team.
* Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures Clearance Requirements: * Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
* Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
* Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
* Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
* Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
* Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
* Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators. Minimum Qualifications: * 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a
* Master's Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience
* Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
* Mastery of data visualization and dashboard development using data sets from various sources.
* Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
* Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
* Proficiency in creating and editing visual content such as charts and graphs to represent data.
* Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization. Preferred Qualifications: * Experience in a leadership or mentorship role within a data analytics or business intelligence team.
* Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures Clearance Requirements: * Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
Skills
Tableau
Java
Python
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