Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
Arlington, VA
Open 5 months, first seen by us 161 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
On-site — work setting source
Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers. Work Location: On-site, Arlington, VA Key Responsibilities:
Read the full posting- Employment
Full-time — employment source
Job Type Full-time Description Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers.
Work Environment: On-site as required by the contract. This is a full-time, W2 position. No agencies, third parties, or Corp-to-Corp submissions.
Read the full posting
Before you apply
- Work authorization
- US citizens only
Must be a US Citizen
What you’ll work on
Full postingDevelop, train, validate, and deploy machine learning and statistical models
Perform exploratory data analysis to find patterns, correlations, and anomalies
Implement MLOps practices to operationalize and monitor deployed models
Design NLP models to support business operations
Produce model cards, methodology reports, and technical papers
From the employer’s posting
Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges.
Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in complex datasets.
Implement MLOps practices to operationalize and monitor deployed models.
Design NLP models to support business operations.
Produce data science documentation, including model cards, methodology reports, and technical papers.
What you’ll bring
All qualificationsCore experience
- 3 years of data analysis, 1 year of machine learning.
- Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.
Preferred experience
- Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.
- Experience applying data science to DoD or federal agency mission problems.
- Familiarity with Oracle RDBMS 19c
- Experience with LLM models such as OpenAI, Gemini, Mistral, and Nova.
Qualification wording
3 years of data analysis, 1 year of machine learning.
Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.
Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.
Experience applying data science to DoD or federal agency mission problems.
Familiarity with Oracle RDBMS 19c
Experience with LLM models such as OpenAI, Gemini, Mistral, and Nova.
Education & alternatives
Requirements - Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred. - 3 years of data analysis, 1 year of machine learning.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 161 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, 2026161 days ago
- Recorded sightings
- 200
- Last seen by us
- Nov 11, 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 161
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past Spatial Front’s usual: its jobs come down by about day 27.
From 11,368 similar postings that came down, and 5 of Spatial Front’s. Coming down is not always a hire.
Spatial Front is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- 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
- AWS
- Kibana
- Power BI
- SageMaker
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 3 years of data analysis, 1 year of machine learning. - Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling. - Must be a U.S. Citizen.
- Familiarity with data visualization tools such as Power BI or Kibana. - Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ. - Proficiency with scikit-learn, TensorFlow, PyTorch, or R.
- Experience with ETL, FTL is a plus, including tools such as Ab Initio and Go Anywhere - Familiarity with data visualization tools such as Power BI or Kibana. - Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ.
- Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ. - Proficiency with scikit-learn, TensorFlow, PyTorch, or R. - Experience with cloud-based ML platforms
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 Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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 Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Type
Full-timeDescription
Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers.
Work Location: On-site, Arlington, VA
Key Responsibilities:
- Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges.
- Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in complex datasets.
- Collaborate with data engineers to access, prepare, and transform data for modeling and analysis.
- Communicate model findings, limitations, and recommendations to technical and non-technical stakeholders.
- Implement MLOps practices to operationalize and monitor deployed models.
- Design NLP models to support business operations.
- Evaluate and recommend AI/ML tools, frameworks, and platforms for program use.
- Produce data science documentation, including model cards, methodology reports, and technical papers.
- Other duties as assigned.
Requirements
- Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.
- 3 years of data analysis, 1 year of machine learning.
- Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.
- Must be a U.S. Citizen.
- Must possess an active Secret security clearance or be able to obtain one.
Desired Skills:
- Experience applying data science to DoD or federal agency mission problems.
- Familiarity with Oracle RDBMS 19c
- Experience with LLM models such as OpenAI, Gemini, Mistral, and Nova.
- Experience with ETL, FTL is a plus, including tools such as Ab Initio and Go Anywhere
- Familiarity with data visualization tools such as Power BI or Kibana.
- Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ.
- Proficiency with scikit-learn, TensorFlow, PyTorch, or R.
- Experience with cloud-based ML platforms
Additional Information:
- Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one.
- Work Environment: On-site as required by the contract.
- This is a full-time, W2 position.
- No agencies, third parties, or Corp-to-Corp submissions.
- Spatial Front Inc. is an Equal Opportunity Employer — all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.
- SFI participates in E-Verify.
Salary Description
80,000 k - 150,000 kSource 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
Arlington, VA
Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers. Work Location: On-site, Arlington, VA Key Responsibilities:
More source context
- Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one. - Work Environment: On-site as required by the contract. - This is a full-time, W2 position.
- Work authorization
- Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling. - Must be a U.S. Citizen. - Must possess an active Secret security clearance or be able to obtain one. Desired Skills:
More source context
Additional Information: - Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one. - Work Environment: On-site as required by the contract.