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Data Scientist

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Spatial Front, Inc
Full Time position
Listed on 2026-04-23
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job 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 develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have 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.

Job

Type

Full‑time

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 data analysis experience, 1 year machine‑learning experience.
  • Demonstrated expertise in statistical analysis, machine‑learning, Python, data visualization, LLMs, and 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 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 Amazon

    Q.
  • Proficiency with scikit‑learn, Tensor Flow, 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:
    Onsite/Hybrid/Remote 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.
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