Data Scientist

Spatial Front • Arlington, VA

24d • Hybrid

About The Position

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 stong 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.

Requirements

• Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.
• 3 years data analysis, 1 year 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.

Nice To Haves

• 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 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees