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Chief Data Scientist

Bethesda, MD, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

On-site

USD $200,001.00 - 240,000.00 per year

SAIC

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Job Details

Skills

Security Clearance
Delegation
Performance Management
Predictive Analytics
Pattern Recognition
Natural Language Processing
Quality Assurance
Open Source
Analytical Skill
Computer Science
Mathematics
Statistics
Applied Mathematics
Electrical Engineering
Advanced Analytics
IT Management
Data Processing
Supervision
Management
Project Scoping
Fusion
Workflow
Unstructured Data
Artificial Intelligence
Multimedia
Biometrics
Geospatial Analysis
CGI
Data Science
Digital Forensics
Malware Analysis
Threat Analysis
Use Cases
Internal Communications
IC
Integrated Circuit
Ontologies
ICD
Amazon Web Services
Analytics
Machine Learning (ML)
Information Technology
Systems Engineering
FOCUS

Security Clearance
Delegation
Performance Management
Predictive Analytics
Pattern Recognition
Natural Language Processing
Quality Assurance
Open Source
Analytical Skill
Computer Science
Mathematics
Statistics
Applied Mathematics
Electrical Engineering
Advanced Analytics
IT Management
Data Processing
Supervision
Management
Project Scoping
Fusion
Workflow
Unstructured Data
Artificial Intelligence
Multimedia
Biometrics
Geospatial Analysis
CGI
Data Science
Digital Forensics
Malware Analysis
Threat Analysis
Use Cases
Internal Communications
IC
Integrated Circuit
Ontologies
ICD
Amazon Web Services
Analytics
Machine Learning (ML)
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2616976

Location: Bethesda, MD, US

Date Posted: 2026-09-17

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking a Chief Data Scientist to serve as the senior technical authority for all Data Science and Analytics activities performed under an Intelligence Community program.

Work is performed on site in: Bethesda, MD, with CONOCONUS travel as required.

The Chief Data Scientist will be responsible for:

Providing technical leadership, task assignment, and performance management for all contractor data science and analytics personnel supporting program requirements.
Architecting and overseeing the development and deployment of AI/ML models, large-scale data processing pipelines, and advanced analytics capabilities in support of intelligence production.
Leading the application of predictive analytics, pattern recognition, anomaly detection, and natural language processing (NLP) techniques to multi-source intelligence data sets.
Directing the integration of data science capabilities across program functional areas to maximize intelligence value from complex, multi-disciplinary requirements.
Establishing and enforcing data science standards, model validation methodologies, and quality assurance procedures to ensure the accuracy, reproducibility, and defensibility of all analytical outputs.
Identifying, evaluating, and integrating emerging commercial and open-source AI/ML tools and technologies to continuously advance the program's analytical capabilities.

Qualifications

Required Education and Years of Experience:

Active TS/SCI with polygraph is required to be considered for this role.
Willing and able to obtain a Polygraph.
Master's degree or higher in Data Science, Computer Science, Mathematics, Statistics, Applied Mathematics, Electrical Engineering, or a closely related quantitative field. Equivalent combination of education and directly relevant experience may be considered.
Ten (10) years of experience in data science, machine learning, or advanced analytics, with demonstrated progression to senior technical leadership roles.
Seven (7) years of experience designing, developing, and deploying AI/ML models and large-scale data processing solutions in operational environments.
Five (5) years of experience leading or supervising data science teams, including responsibility for managing project scope, resources, risk, and schedule.
Demonstrated experience integrating AI/ML capabilities into multi-source data fusion workflows, including the correlation of structured and unstructured data from diverse sources.

Desired:

Experience developing AI/ML solutions for multimedia intelligence applications, including deepfake detection, voice biometrics, geospatial analysis, or imagery exploitation.
Experience applying data science techniques to digital forensics, malware analysis, or cyber threat intelligence use cases.
Familiarity with IC-specific data standards, ontologies, and intelligence production frameworks (e.g., ICD 203, ICD 206).
AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Certified Analytics Professional (CAP), or GIAC Machine Learning Engineer (GMLE).

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2616976
Posted 8 hours ago

Company Info

About SAIC

SAIC® is a premier 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, intelligence, and civilian 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 approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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