Desired Skills and Experience

  • Matlab
  • Python for data science
  • SQL for data science
  • DevOps in data science
  • Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)
  • Emerging data science and analytics platforms: Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning
  • Deep knowledge of, and professional experience with, the technologies you wish to teach
  • Prior teaching experience preferred, but not required
  • Involvement with the data science ecosystem and community preferred
  • Interest in e-learning as a medium, either as a trainer or student
  • Ability to respond to and incorporate feedback productively
  • Ability to commit approximately 30 hours to developing a course (over several months) and 1-week to record in one of our studios (travel expenses paid). Remote recording options available.