Data Science Resident - Galvanize Data Science Immersive Grads Only

Job Description

DATA SCIENCE RESIDENT (DSR) THIS POSITION IS RESERVED FOR FORMER STUDENTS AND GRADUATES OF GALVANIZE IMMERSIVE PROGRAMS Being a Part Time Resident (DSR) or gU Resident, you would be at Galvanize 29-hours per week. The idea is to solidify your new skills by helping students in the classroom as well as going through the curriculum again. Your classroom responsibilities will mostly include ‘being on the floor,’ which means helping students through the daily exercises. Other classroom responsibilities include reviewing new student applications, interviewing prospective students, building new/iterating current curriculum, grading student tests, and reviewing student code. As part of the Residency program, you will receive dedicated mentorship from our expert instructors and faculty to cultivate your development as a data scientist or data engineer. This is a 13-week appointment for Part Time DSI residents, and an 8-week appointment for gU residents, based on cohort schedules. DSR Part Time will work during Week 7 which is a Break Week and will be compensated for this week.

• NYC: For 29-hours of work-week, the stipend is approximately $35/hr for a three-month cohort commitment.

The Typical Week of classroom responsibilities include:

• Helping students on the floor during the classroom exercises
• Reviewing incoming student applications
• Interviewing prospective students
• Building new/iterating current curriculum
• Reviewing current students code and grading tests
• Attending weekly curriculum meeting
• Presenting at Monthly Info Sessions for prospective students
• Growing significantly as a data scientist through professional instruction and self-study in the concepts and tools you haven't yet mastered

Application Process for Data Science Residency

• 1st screen (passive): Peer nominations, final assessment, classroom experience, application
• Interview: Brief conversation with an instructor on your goals in the Resident role, coding, statistics and Machine Learning.

EEO Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.