Data Scientist
Arlington, VA
- Pay
- Pay not listed
- Work setting
On-site stated — 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
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.
Tools in this posting
- Python
- AWS
- Kibana
- Power BI
- SageMaker
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
- 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
Posting record
Report an errorOpen 4 monthsWe first saw this listing 145 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, 2026 · 145 days ago
- Recorded sightings
- 182
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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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.
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