Instructor, Data Science

The full-time Data Science Instructor will lead students through a rigorous process to reach academic success. The role involves lecturing, coordinating key components of a student’s course structure, such as weekly one-on-ones, assessments, and project reviews, and acting as their go-to technical resource and inspiration as they work through the program. Instructors need to be comfortable guiding students through applied and experiential learning experiences across a breadth of skill areas that are expected of data science professionals. The role requires a minimum of 75 lecture hours per cohort and 2+ years of practitioner experience as a data scientist, data analyst or data engineer. The expected compensation is $80K - $120K Annually.

• Deliver a minimum of 75 lecture hours per cohort.
• Work directly with students, elevating them to meet our technical bar.
• Maintain the cadence of the course: Keep students on track, monitor each individual’s progress, and design and implement learning or service interventions when students fall behind.
• Hold regular one-on-one and group coaching sessions with students that serve as tutoring, motivational, or debugging sessions — whatever particular student(s) need(s) that day to keep on track for their goals.
• Help students in real-time, through one-on-one meetings, chat, and live video conversations, tending towards the most high-fidelity experiences.
• Facilitate Education Operations in Flatiron School’s Learning Management System.
• Review coursework by students and provide specific, highly qualitative, and useful feedback.
• Lead project sprints, helping students scope and execute larger technical projects to demonstrate mastery of each content module.
• Conduct assessments, holding students to a high bar of mastery for each content module and coaching them on how to deepen their understanding of the material.
• Build community within student groups by identifying, creating, and implementing connective experiences, like Feelings Friday and Motivational Monday study groups, Slack discussions, and student pairing sessions.
• Monitor and engage in student discussions, jumping in to help with technical challenges and participating in non-technical conversations that develop community.
• Leverage passion as a force for motivation by sharing what you are passionate about with students and working those topics into lesson plans as appropriate.
• Be available, responsive, excited, and kind: A teacher who holds students to high standards, puts people above process and creates the kind of learning environment that stretches people beyond what they thought they could achieve.
• Actively contribute to the full student life cycle by leading and executing community marketing, admissions, and career services projects - which will sometimes occur on evenings and weekends.
• Use feedback from students gathered via class surveys, team members, and students, to reflect, adjust, and continually improve your practice; assist colleagues in developing and executing learning interventions that move students forward.
• Be an exemplar of Flatiron School’s values in your work and your interactions: Make No Little Plans, Strive for Excellence, Be a Lifelong Learner, Work Together, Radiate Positivity, and Nurture Difference.
• Assist in onboarding new instructors.
• Participate in internal and external events.
• May occasionally substitute if needed.

• Deliver a minimum of 75 lecture hours per cohort.
• Work directly with students, elevating them to meet our technical bar.
• Maintain the cadence of the course: Keep students on track, monitor each individual’s progress, and design and implement learning or service interventions when students fall behind.
• Hold regular one-on-one and group coaching sessions with students that serve as tutoring, motivational, or debugging sessions — whatever particular student(s) need(s) that day to keep on track for their goals.
• Help students in real-time, through one-on-one meetings, chat, and live video conversations, tending towards the most high-fidelity experiences.
• Facilitate Education Operations in Flatiron School’s Learning Management System.
• Review coursework by students and provide specific, highly qualitative, and useful feedback.
• Lead project sprints, helping students scope and execute larger technical projects to demonstrate mastery of each content module.
• Conduct assessments, holding students to a high bar of mastery for each content module and coaching them on how to deepen their understanding of the material.
• Build community within student groups by identifying, creating, and implementing connective experiences, like Feelings Friday and Motivational Monday study groups, Slack discussions, and student pairing sessions.
• Monitor and engage in student discussions, jumping in to help with technical challenges and participating in non-technical conversations that develop community.
• Leverage passion as a force for motivation by sharing what you are passionate about with students and working those topics into lesson plans as appropriate.
• Be available, responsive, excited, and kind: A teacher who holds students to high standards, puts people above process and creates the kind of learning environment that stretches people beyond what they thought they could achieve.
• Actively contribute to the full student life cycle by leading and executing community marketing, admissions, and career services projects - which will sometimes occur on evenings and weekends.
• Use feedback from students gathered via class surveys, team members, and students, to reflect, adjust, and continually improve your practice; assist colleagues in developing and executing learning interventions that move students forward.
• Assist in onboarding new instructors.
• Participate in internal and external events.
• BA Degree and/or equivalent experience.
• 2+ years of practitioner experience as a data scientist, data analyst or data engineer.
• 2+ years prior instructional or training experience.
• Strong Knowledge in Data Science in Python, starting from data manipulation and management to advanced Machine Learning techniques like Deep Learning.
• Strong working knowledge of Git and Github.
• Strong communication skills, and great judgment about what communications to use in a particular situation or on a particular medium.
• Service orientation: You’re delighted to help people succeed, whether that’s your colleagues at Flatiron School, or the students you’re teaching.
• The ability to work cross-functionally with a variety of colleagues, from Curriculum Writers to Data Science Lecturers, to Engineers and Designers.
• Expected Compensation: $80K - $120K Annually.