Data Scientist

Spatial Front, Inc; Arlington (VA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading analytics firm based in Virginia is seeking a Data Scientist to support federal programs. The ideal candidate will develop advanced analytical models and machine learning solutions. Responsibilities include deploying ML models, performing exploratory data analysis, and collaborating with data engineers. Applicants should have a Bachelor's degree in a relevant field with experience in data analysis and must possess an active Secret security clearance or be able to obtain one. The role offers flexibility in the work environment.

Qualifications

• 3 years of data analysis experience, 1 year in machine learning.
• Demonstrated expertise in statistical analysis and predictive modeling.
• Active Secret security clearance or ability to obtain one.

Responsibilities

• Develop and deploy machine-learning models to address analytical challenges.
• Perform exploratory data analysis to identify patterns and anomalies.
• Collaborate with data engineers for data preparation and transformation.

Skills

Statistical analysis

Machine learning

Python

Data visualization

Predictive modeling

Education

Bachelor’s in Statistics, Mathematics, Computer Science, or related field

Master’s degree preferred

Tools

PowerBI

Kibana

Oracle RDBMS 19c

scikit-learn

TensorFlow

PyTorch

AWS AI toolkit

Job description

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 PowerBI 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: 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.