Data Scientist - Senior - DXCAE-DS-0004* (KEY)

PD 07: Data Analysis

• Senior The Data Analysis
• Senior, 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.

Duties May Include:

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.

Required Skills:

Education:

A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.

Experience:

7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. 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. Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions. Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations. 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. Excellent verbal and written communication skills, with experience providing technical and editorial guidance. Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems. Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities. Proficiency in creating and editing visual content such as charts and graphs to represent data. At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, Arc

IMS, ERDAS

Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker 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.

Desired Skills:

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. Data Scientist

• Senior

• DXCAE-DS-0004

• (KEY) Springfield, VA PD 07: Data Analysis
• Senior The Data Analysis
• Senior, 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.

Duties May Include:

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.

Required Skills:

Education:

A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.

Experience:

7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. 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. Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions. Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations. 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. Excellent verbal and written communication skills, with experience providing technical and editorial guidance. Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems. Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities. Proficiency in creating and editing visual content such as charts and graphs to represent data. At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, Arc

IMS, ERDAS

Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker 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.

Desired Skills:

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.