or conda) Experience with Natural Language Processing (NLP) and advanced text mining techniques Experience with graph analytics and network analysis Experience with one or more technologies such as RShiny, Databricks, AWS, Azure Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis More ❯
to identify and roadmap emerging analytics and AI capabilities (e.g., automation, machine learning, GenAI assistants) aligned with program objectives. Proficiency with data visualization tools (e.g., Power BI, Tableau, RShiny) to present operational insights. Excellent communication and collaboration skills with the ability to engage with test data producers, Mission Data Owners, and MDA stakeholders as a technical SME. Detail More ❯
Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity More ❯
/SCI + CI Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯
/SCI + CI Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯
/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯
/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯
/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯
