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Data Scientist

Arlington, VA

Pay
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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:
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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.
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What you’ll work on

Full posting
  • Develop, 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 qualifications

Core 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

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Open 4 monthsWe first saw this listing 144 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

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Live
First seen by us
Jun 3, 2026 · 144 days ago
Recorded sightings
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Last seen by us
Oct 25, 2026

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Job description

View original posting ↗

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 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 k
Source details

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Source notes

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Pay

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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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