USAF - Data Scientist

Linthicum Heights Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at cFocus Software. Linthicum Heights · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.

Estimated pay

cFocus Software has not published a salary for this role. The figure below is our estimate, not theirs.

$116,263 – $174,915

What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.

Worked out from 478 postings that stated pay, median $143,050. Last updated Nov 6, 2026.

RoleData Science

SeniorityMid-level

LocationLinthicum Heights

EmploymentFull-time

PostedOct 5, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Work with government stakeholders to shape approved mission questions, AI use cases, model goals and measures for review
Check whether data and infrastructure can support proposed analyses, then flag gaps in access, quality or suitability
Prepare approved-source data, build features and record assumptions; analyze patterns and assess data limits
Compare candidate models, recommend options, then train and validate selected models against approved goals and measures
Track deployed model health, maintain auditable lifecycle records and communicate results through reports or dashboards

What you bring

An active TS/SCI clearance is required for this position
A bachelor's degree in computer science, information technology or a related field
Practical experience applying data science, statistical analysis and machine learning to business or mission problems
Experience preparing and assessing data, evaluating machine learning models, and explaining metrics, limitations and uncertainty

Who this fits

This role suits a data scientist comfortable working across analysis, model evaluation, deployment coordination and ongoing monitoring. The position is on-site in Linthicum Heights, Maryland, and requires an active TS/SCI clearance.

From the employer

cFocus Software seeks a Data Scientist to join our program supporting the United States Air Force (USAF). This position is on-site in Linthicum Heights, MD. This position requires an Active TS/SCI clearance.
Qualifications:

Active TS/SCI clearance
B.S. Computer Science, Information Technology, or a related field
Experience applying data science, statistical analysis, and machine learning to practical business or mission problems.
Proficiency in analytical programming and querying, with ability to build reproducible workflows.
Experience cleaning and transforming data, engineering features, and assessing data quality.
Experience comparing, training, testing, validating, and tuning machine learning models.
Ability to select appropriate metrics, interpret results, and explain model limitations and uncertainty.
Experience creating reports, visualizations, or dashboards for technical and nontechnical audiences.
Understanding of version control, DevSecOps, model monitoring, and auditable model lifecycle practices.
Ability to follow data governance and security requirements and collaborate with multidisciplinary teams

Duties:

Work with Government stakeholders to define business problems, analytical questions, AI use cases, machine learning objectives, and performance measures for approval.
Assess data readiness and supporting infrastructure, identifying gaps in data availability, quality, accessibility, and suitability for proposed analyses.
Gather, clean, transform, and prepare data from Government-approved sources; develop features and document preparation methods and assumptions.
Perform exploratory and statistical analyses to identify patterns, assess data limitations, and develop findings relevant to approved mission questions.
Research and compare candidate machine learning models; present evidence-based recommendations for Government review and selection.
Train, test, validate, and tune Government-selected models against approved requirements, performance metrics, and mission goals.
Use reproducible evaluation methods and appropriate training and test data separation; document model limitations, uncertainty, and potential sources of bias.
Develop AI models in accordance with Government-approved data governance policies and enterprise architecture; maintain supporting compliance evidence.
Coordinate model deployment with engineering and operations teams following Government review and formal acceptance.
Monitor deployed model performance and health; investigate degraded results or changes in input data and recommend approved corrective actions.
Apply DevSecOps processes throughout the model lifecycle, maintaining version control, documentation, and auditable records of data, code, models, and results.
Support data quality monitoring, remediation, metadata, and data tagging under approved standards; recommend improvements to data governance practices.
Develop analytical queries, reports, and interactive dashboards to communicate results and track Government-approved KPIs and business questions.
Analyze and fuse authorized external agency data only as permitted by established data-sharing agreements and security policies.
Collaborate with data engineers, architects, cybersecurity personnel, and mission users; support assigned AI model evaluation for knowledge or records management functions.