modeling and data architecture ii. SQL databases (e.g. Oracle, PostgeSQL, or MySQL) iii. Python programming language Experience in the following: i. Data integration and ETL tools (e.g., Talend, Informatica, Knime, or Apache NiFi) ii. Data visualization tools (e.g., Tableau or Power BI). iii. Agile methodologies and project management tools and utilization of project management tools (e.g., JIRA). iv. More ❯
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 Spark - People-centric analytics (human behavior, user activity, risk ranking, psychology, security, CI, etc. More ❯
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 Spark - People-centric analytics (human behavior, user activity, risk ranking, psychology, security, CI, etc. More ❯
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 Spark - People-centric analytics (human behavior, user activity, risk ranking, psychology, security, CI, etc. More ❯
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 Spark - People-centric analytics (human behavior, user activity, risk ranking, psychology, security, CI, etc. More ❯
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 Spark - People-centric analytics (human behavior, user activity, risk ranking, psychology, security, CI, etc. More ❯
