Job Details
Location:
Los Angeles, Los Angeles County, California, USA
Los Angeles, Los Angeles County, California, USA
Posted:
Oct 10, 2019
Job Description
DATA SCIENCE WORKSHOP LEADER [Contract position]
Vision and Values:Galvanize is a dynamic learning community for technology. Our community is where people and companies with the guts and smarts to create real-world change congregate and inspire each other. The goal is to make opportunities in technology available to all those with the aptitude, determination, and drive. Across 8 beautifully designed urban campuses, Galvanize offers a unique combination of education, workspace, and networking.Galvanize teaches web development, data science, and data engineering to students, offers support and workspace to over 700 member companies, and provides over 200 networking events monthly throughout the nation. Galvanize campuses bring together entrepreneurs, students, investors, mentors, and great people and companies to develop the skills, mindset, and networks necessary to thrive in a technology driven world.The Data Science Workshop Leader teaches python introductory classes to prospective students of our Data Science Immersive. The ideal candidate possesses a unique blend of charisma and technical savvy. The DS Workshop Leader works on a contract and as needed basis, up to 5 hrs in a given week.
What you’ll do:- Deliver engaging lectures on introductory python classes.
What we’re looking for:- Familiarity with Python, Web Scraping, SQL, Data Analytics.
- Skilled and engaging facilitator / lecturer.
- Knowledge of Google Apps (Gmail, Docs, Sheets, Slides, Drive, etc.).
- Passion for education and service.
- Outstanding follow-through.
- Available for evenings and weekends.
Positive attitude is a must.
Galvanize provides equal employment opportunities (EEO) to all employees and applicants for employment. 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.