Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist / Data Engineer / AI Engineer (Hybrid)
Charlottesville, VA, US
Live, first seen by us 27 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH - Hybrid, 30% weekly onsite presence required
What you’ll work on
Full postingConduct data analysis, mining, and predictive and statistical modeling
Design and implement relational and non-relational data storage solutions
Create AI/ML-based tools to improve analysis and automate processes
Integrate AI capabilities into software-development applications
Develop scripts to cleanse, transform, and prepare data for operational use
From the employer’s posting
Conduct data analysis, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
Design and implement data storage solutions using relational and non-relational databases.
Create AI/ML-based tools to improve analysis and automate processes.
Integrate AI capabilities into software-development applications.
Develop scripts to cleanse, transform, and prepare data for operational use.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
- Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets.
- Proficiency in Python, R, or Scala.
- Experience building data models and analytics that integrate into production software systems.
- Experience supporting the DoD, Intelligence Community, or other federal programs.
Qualification wording
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets.
Proficiency in Python, R, or Scala.
Experience building data models and analytics that integrate into production software systems.
Experience supporting the DoD, Intelligence Community, or other federal programs.
Education & alternatives
Required Qualifications - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. - 3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202627 days ago
- Recorded sightings
- 24
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 6, 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
Time since we first saw it
Day 27
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
DAn Solutions is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- Scala
- SQL
- Elasticsearch
- PostgreSQL
- Power BI
- Tableau
Where the posting names them
- Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets. - Proficiency in Python, R, or Scala. - Experience building data models and analytics that integrate into production software systems.
- Familiarity with visualization tools such as Tableau or Power BI. - Strong SQL background with experience using PostgreSQL and Elasticsearch. - Working knowledge of cloud-based data environments.
- Experience supporting the DoD, Intelligence Community, or other federal programs. - Familiarity with visualization tools such as Tableau or Power BI. - Strong SQL background with experience using PostgreSQL and Elasticsearch.
Your next step
Complete your application on dansolutions.isolvedhire.com. The employer’s form will show what is required.
Already applied? Track this application
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
REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH - Hybrid, 30% weekly onsite presence required.
DAn Solutions is seeking a Senior Data Scientist / Data Engineer / AI Engineer to support advanced data analytics, data engineering, artificial intelligence, and machine learning capabilities for a federal intelligence customer.
This position will work with real-world mission data to develop analytics, predictive models, data pipelines, visualizations, and AI/ML capabilities that integrate into production software environments.
Responsibilities
- Conduct data analysis, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
- Apply scientific and analytical techniques to large and complex datasets.
- Develop written, visual, graphical, and verbal data products.
- Design and implement data storage solutions using relational and non-relational databases.
- Develop scripts to cleanse, transform, and prepare data for operational use.
- Create AI/ML-based tools to improve analysis and automate processes.
- Integrate AI capabilities into software-development applications.
- Develop and evaluate data models and analytical capabilities for production systems.
- Assess and communicate risks associated with AI/ML implementations.
- Support data visualization and reporting.
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
- Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets.
- Proficiency in Python, R, or Scala.
- Experience building data models and analytics that integrate into production software systems.
- Experience supporting the DoD, Intelligence Community, or other federal programs.
- Familiarity with visualization tools such as Tableau or Power BI.
- Strong SQL background with experience using PostgreSQL and Elasticsearch.
- Working knowledge of cloud-based data environments.
- Active TS/SCI clearance.
Desired Certifications
- Certification in machine learning, data analytics, or cloud platforms.
- IAT Level II or III certification.
Salary Range Disclaimer: The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Charlottesville, VA, US
REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH - Hybrid, 30% weekly onsite presence required. DAn Solutions is seeking a Senior Data Scientist / Data Engineer / AI Engineer to support advanced data analytics, data engineering, artificial intelligence, and machine learning capabilities for a federal intelligence customer.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.