Data Scientist

Spatial Front, Inc

Arlington, VA, United States3d ago

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Key details

Location
Arlington, VA, United States
Work style
Onsite
Level
Mid level
Job type
Full-time
Experience
3–6 yrs
Function
Data & ML
Focus area
AI / ML
Posted
3d ago

Skills

ai/mlawsaws sagemakerdata analysisdata sciencedata visualizationetlgeminigokibanallmmachine learningmlopsnlpopenaioraclepower bipredictive modelingpythonpytorchrscikit-learnstatistical analysisstatistical modelingtensorflow

About the role

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

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