Instructor, Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Data Science instructor, you will be leading students through a rigorous process to reach academic success. Responsibilities will include 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. You’ll work with fellow Flatiron School staff to guide students through the course material, build community within our student body, troubleshoot student issues, and overall create productive, inspired, employable practitioners of a technical craft.

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. Additionally, you may assist in onboarding new instructors and participate in internal and external events. This position requires an individual to work in person at our NYC Campus Monday-Friday 9-6. 

The Instructor, Level 2 will:

• 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.

Collaborate thoughtfully and impactfully with colleagues:

• 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.

Qualifications:

• BA Degree and/or equivalent experience.
• 2+ years of practitioner experience as a data scientist, data analyst or data engineer.
• 2+ years of 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 - $95K Annually

Important note: For the health and safety of the Flatiron School community, full COVID-19 vaccination is required for entrance to any of our Flatiron School locations — including campuses and offices. In addition, masks will be required on site at all times at campuses located in cities where transmission is designated as substantial or high, only removing to eat or drink at a designated distanced desk. You can read our