Data Science Instructor, Part-Time - REMOTE

Job Description

Part-Time Data Science Instructor - Remote 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. Our goal is to make opportunities in technology available to all those with the aptitude, determination, and drive. Across our beautifully designed urban campuses nationwide, we offer a unique combination of education, workspace, and networking. The part-time data science instructor will host and teach technical workshops to inexperienced coders in order to help them learn foundational skills in data science and to solve data-science problems utilizing innovative educational techniques. We are looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity. Join us in building the world's hub for education in data science and data engineering. As a Data Science instructor at Galvanize, you will:

• Deliver lectures and tutorials on scientific Python, SQL, probability, statistics (Bayesian and frequentist), machine learning, and data engineering.
• Lead “sprints,” maintaining a strong presence in the virtual classroom
• Clearly communicate well-crafted lesson plans
• Deftly and patiently field student questions
• Provide attendees of your workshops information about our full-time immersive programs and our prep programs
• Build and refine data-science workshops
• Utilize student feedback and experimentation to continuously improve teaching and assessment methods.
• Evaluate new tools, packages, and tutorials for use in the curriculum.
• Contribute to local evangelism, admissions, and nurture activities, such as attendance at meetups, speaking at conferences, leading workshops (evening), etc.
• Promote a positive, fast-paced learning environment, and keep students moving forward in course content.
• You should be available and flexible to teach evening workshops at least two days a week Monday through Thursday
  

Expected Experience:

• Experience in the industry in a data scientist or software engineer role
• Strong understanding of the topics we teach: scientific Python, software engineering, probability, statistics, SQL, machine learning, data engineering, data visualization, data at scale
• Outstanding communication skills
• Experience teaching a quantitative subject preferred
  

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