Experience with Natural Language Processing (NLP) techniques, such as text classification or entity recognition
Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing
Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams
Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK
Experience working with the U.S. Department of Defense or the Intelligence Community
Experience with graph analytics, network analysis, or anomaly detection techniques
Experience with version control, such as Git, and reproducible research practices
Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses
Master's degree in Statistics, Computer Science, Data Science, or Economics
