At Flatiron School, we're changing education. For over ten years, we've been teaching amazing people how to code and change their lives. We give incredible people the tools to do what they love for a living, and match companies with hires who will do amazing work, take great pride in their craft and view their work as a chance to grow more.

Data Science Technical Coaches work directly with Flatiron School students, acting as supplementary instructors while students are working through the curriculum. Technical Coaches interact with students primarily through Flatiron School's “Pair with a TC” service, delivering one-on-one support through text-based chat and through video calls, helping students uncover the solutions to technical labs and assignments by guiding them through a process of directed inquiries and incremental hints.

Technical Coaches may have opportunities to provide support to students by hosting office hours, leading concept reviews, and being available during lab work time to answer questions and support students as they progress through the curriculum.

In this role, your responsibilities will include guiding students through debugging their code, through technical challenges while they are working through Flatiron School’s Data Science curriculum, helping them to deepen their understanding of programming concepts, and conducting project review assessments to evaluate student knowledge of a specific content area. Successful Technical Coaches can inspire and energize students to help them build their confidence as they work through difficult coding challenges, while also working closely with our Delivery Instructors on lecture materials and preparation.

Responsibilities

• Exemplify the developer’s mindset by guiding stuck students through labs efficiently, effectively, and with kindness
• Pilot our experimental efforts in how to provide the best experience and most positive outcomes
• Lead study groups, office hours, and concept reviews that deepen our students’ understanding of key concepts
• Onboard yourself to content and assessments as far ahead of students working through these materials to oversee any potential problems to provide guidance to instructors and the Flatiron School Curriculum team
• Conduct project review assessments by objectively evaluating student knowledge against the Flatiron School standards in each Phase of the curriculum. 
• Document student outcomes in learning management systems in a thorough and timely manner. 
• Embrace change and thrive in ambiguity by helping students and staff with real-time efforts, like being part of new experiments and initiatives, troubleshooting features that are shared to students, and escalating issues that you need help within a timely manner
• Use feedback from students through surveys and data to continually improve.
• Integrate feedback given by colleagues and managers
• Strive to ask questions and provide solutions rather than simply pointing out problems
• Collaborate with teammates to address outstanding student issues and to improve the student experience
• Lean into all Flatiron School’s values: Make No Little Plans, Strive for Excellence, Work Together, Radiate Positivity, Be a Lifelong Learner, and Nurture Difference

Qualifications

• Strong Knowledge in Data Science in Python and SQL, starting from data manipulation and management all the way to advanced Machine Learning techniques like Deep Learning, including also familiarity with some cloud-computing concepts, especially as implemented in AWS
• 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 Instructors.

Expected Work Hours: Nights and weekends (Eastern time)

• Sunday (12pm-4pm), Monday (8pm-12am), Tuesday (6pm-12am), Wednesday (6pm-10pm), Thursday (6pm-10pm)

Salary Range 

$30-$35 per hour
For Colorado Residents: Application Deadline: We expect this position to be filled by 4/21/2024