Data Scientist

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.

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