Chief Data Scientist

Reads like a Data Leadership role: running a data team.

Bethesda, MD, United States

Actively hiring, first seen by us 6 days ago

Pay: Pay not listedSimilar roles state $154K–$225K
Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: Citizens onlyActive TS/SCI with polygraph is required to be considered for this role

What you’ll work on

Full posting

Lead and manage performance of contractor data science and analytics staff
Architect and oversee AI/ML models and large-scale data processing pipelines
Lead predictive analytics, anomaly detection, and NLP on multi-source intelligence data
Set data science standards, model validation, and quality assurance procedures
Evaluate and integrate emerging commercial and open-source AI/ML tools

From the employer’s posting

Providing technical leadership, task assignment, and performance management for all contractor data science and analytics personnel

Architecting and overseeing the development and deployment of AI/ML models, large-scale data processing pipelines

Leading the application of predictive analytics, pattern recognition, anomaly detection, and natural language processing (NLP) techniques to multi-source intelligence data sets

Establishing and enforcing data science standards, model validation methodologies, and quality assurance procedures

Identifying, evaluating, and integrating emerging commercial and open-source AI/ML tools and technologies

Education & alternatives

- 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.

Apply at Science Applications Intl

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20266 days ago
Recorded sightings: 10
Last seen by us: Nov 4, 2026
Employer says posted: Sep 17, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 6

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Science Applications Intl is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

4% of open jobs were reposted

Hiring record

See how this role fits your experience

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Where the posting names them

- 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).

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 CONUS/OCONUS 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.

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).

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