Time since we first saw it
Day 158
Up longer than most. Similar jobs usually come down between day 7 and day 71.
From 4,682 similar postings that came down. Coming down is not always a hire.
Data Scientist / ML Engineer
The Pentagon
Open 5 months, first seen by us 158 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Job Type: Full-time/Exempt Location: Pentagon / National Capital Region (Hybrid) Clearance Required: Active Secret
Read the full posting- Employment
Full-time — employment source
Annual Career Development Process Job Type: Full-time/Exempt Location: Pentagon / National Capital Region (Hybrid)
Read the full posting
What you’ll work on
Full postingDesign, develop, and deploy ML models and AI solutions for logistics
Build predictive models for readiness, supply chain, and maintenance
Develop and maintain data pipelines, dashboards, and analytics platforms
Integrate AI/ML solutions into existing logistics systems and workflows
Train government users on AI tools and document ML best practices
From the employer’s posting
Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
Build predictive models for readiness forecasting, supply chain optimization, and maintenance planning.
Develop and maintain data pipelines, dashboards, and analytics platforms for enterprise logistics data.
Integrate AI/ML solutions into existing Marine Corps logistics systems and workflows.
Develop best practices documentation for ML systems and train government users on AI tools.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data science, machine learning, or AI engineering.
- Proficiency in Python, R, or equivalent — hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
- Experience building and deploying ML models in production environments.
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
- Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
- Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
Preferred experience
- Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
Qualification wording
5+ years of experience in data science, machine learning, or AI engineering.
Proficiency in Python, R, or equivalent — hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
Experience building and deploying ML models in production environments.
Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
Benefits in the posting
Full benefits wording- Medical, Dental, Vision (82% of employees’ premiums paid by the company, 25% towards dependents)
- HSA / FSA Medical Plans
- PTO
- Flexible Work Environment and Encourage Work/Life Balance
- 401K with Company Match
- Observes all federal holidays
- Professional Development/Tuition Reimbursement Program
- Annual Career Development Process
- Position Responsibilities:
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 158 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026158 days ago
- Recorded sightings
- 105
- Last seen by us
- Nov 7, 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
KSA Integration is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- Power BI
- Tableau
- Matplotlib
- Plotly
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 5+ years of experience in data science, machine learning, or AI engineering. - Proficiency in Python, R, or equivalent — hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks. - Experience building and deploying ML models in production environments.
- Experience building and deploying ML models in production environments. - Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms. - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
- Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms. - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly). - Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
Your next step
Complete your application on recruiting.paylocity.com. The employer’s form will show what is required.
Applying through Paylocity
- “Upload your resume and we’ll automatically fill out your application”: the form fills itself from your file, so check it before sending.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Description
KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA has been awarded the Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being every year from 2019 to 2025. KSA also earned recognition on the Best for Vets List by Military Times from 2019 to 2025 and garnered the Department of Labor “Hire Vets” Platinum Medallion Award from 2021 to 2025.
Position Overview: KSA Integration is seeking a Data Scientist / ML Engineer to support the Marine Corps Logistics Plans (LP) Division’s data management, analytics, and artificial intelligence initiatives. This role directly supports Data Management & Analytics and AI Capability Development. You will design and deploy AI/ML solutions that transform how the Marine Corps manages logistics data, predicts readiness, and automates decision-making.
This Position is Contingent Upon Award
Anticipated Start Date: Summer 2026
Support Hours: Applicant shall be available during core work hours as established by the Government customer.
Benefits:
- Medical, Dental, Vision (82% of employees’ premiums paid by the company, 25% towards dependents)
- HSA / FSA Medical Plans
- PTO
- Flexible Work Environment and Encourage Work/Life Balance
- 401K with Company Match
- Observes all federal holidays
- Professional Development/Tuition Reimbursement Program
- Annual Career Development Process
Job Type: Full-time/Exempt
Location: Pentagon / National Capital Region (Hybrid)
Clearance Required: Active Secret
Travel Requirement: Approximately 10%
Position Responsibilities:
- Design, develop, and deploy machine learning models and AI solutions for Marine Corps logistics applications.
- Build predictive models for readiness forecasting, supply chain optimization, and maintenance planning.
- Develop and maintain data pipelines, dashboards, and analytics platforms for enterprise logistics data.
- Integrate AI/ML solutions into existing Marine Corps logistics systems and workflows.
- Collaborate with government stakeholders to define data management goals and analytics strategies.
- Conduct statistical analysis on complex datasets to identify trends, patterns, and actionable insights.
- Support data governance frameworks, including data quality, privacy, security, and accessibility standards.
- Develop best practices documentation for ML systems and train government users on AI tools.
- Work within secure DoW computing environments (NIPR/SIPR).
Requirements
- 5+ years of experience in data science, machine learning, or AI engineering.
- Proficiency in Python, R, or equivalent — hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks.
- Experience building and deploying ML models in production environments.
- Strong skills in data engineering: SQL, data pipelines, ETL processes, and cloud/on-prem data platforms.
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
- Familiarity with DoW data environments, ADVANA, or military logistics data systems a strong plus.
- Experience with the Torch.AI Nexus platform or UNACORN analytics environment a plus.
- Understanding of responsible AI principles, model governance, and DoW AI ethics frameworks.
- BA/BS in Computer Science, Data Science, Statistics, Mathematics, or related field required; MS preferred.
Preferred Skills/Experience:
- Prior work experience supporting the Marine Corps programs.
KSA Integration is an equal opportunity employer.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
The Pentagon
Job Type: Full-time/Exempt Location: Pentagon / National Capital Region (Hybrid) Clearance Required: Active Secret
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.