Senior Data Scientist

Job ID: 2610293

Location: Springfield, VA, US

Date Posted: 2026-03-19

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE

Description

SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are seeking a highly motivated Senior Data Scientist to lead 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, 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.

Work will be performed at the customer site in Springfield, VA.

***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***

Responsibilities will include the following:

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.

Qualifications

Required Qualifications include:

Active TS/SCI with Polygraph

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, ArcIMS, 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 Qualifications include:
- 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.