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.