3+ years of experience supporting data analytics, data engineering, software development, artificial intelligence, machine learning, or related technical disciplines
Experience using Python for data analysis, automation, application development, or machine learning initiatives
Experience working with structured and unstructured data from multiple sources
Experience performing data extraction, cleansing, transformation, and analysis to support mission and business objectives
Experience developing dashboards, visualizations, and reports using tools such as Power BI, Tableau, Grafana, Kibana, or similar platforms
Experience leveraging AI/ML techniques to identify trends, anomalies, patterns, and actionable insights from large datasets
Experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, or similar frameworks
Experience developing scripts, workflows, or automations that improve operational efficiency and reduce manual effort
Experience communicating technical findings and analytical results to both technical and non-technical audiences
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Understanding of machine learning concepts including classification, clustering, anomaly detection, predictive analytics, and time-series analysis
Active Secret Clearance
Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics, Cybersecurity, or a related field
Preferred Qualifications
Experience supporting DoD, DISA, Intelligence Community, or Federal mission environments
Experience with Azure OpenAI, Generative AI technologies, Large Language Models (LLMs), prompt engineering, or Retrieval Augmented Generation (RAG) solutions
Experience with Apache Spark, Azure Databricks, Azure Synapse Analytics, or other large-scale analytics platforms
Experience with Elastic, Kibana, Elasticsearch, Splunk, or other data analytics and observability platforms
Experience developing or supporting REST APIs and data integration services
Experience working in cloud environments such as Microsoft Azure or AWS
Experience with Git, GitLab, GitHub, or other version control platforms
Experience supporting DevOps, MLOps, AIOps, or automation initiatives
Knowledge of cybersecurity principles, computer networking, and enterprise security operations
Experience deploying AI-enabled solutions into operational environments
Master's degree in a related field Preferred Certifications
Microsoft AI-102: Designing and Implementing AI Solutions