Senior Data Scientist

Experience Required

• Experience of using data science programming languages such as Python and SQL
• Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
• Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Experience developing and implementing ontological frameworks
• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras
• Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs)
• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Knowledge of DevOps, including CI / CD pipelines and Jenkins
• Knowledge of statistical analysis, predictive modeling, and machine learning methods

Technical Skills

• Ability to design and develop automated analytic software, techniques, and algorithms
• Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
• Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI

Education and Experience

• Bachelor's degree in Computer Sciences or Software Engineering or related field
• Minimum 5 Years experience in the field