Facilitator, Data Science (3 Week Program)

As a Facilitator in Data Science at Flatiron School, your primary responsibilities include facilitating two 90-minute synchronous discussion sessions per week, providing personalized feedback on projects, and fostering a collaborative learning environment among a small group of learners. You’ll assess their work, guide discussions that connect course materials to real-world applications, and uphold the values of Flatiron School to ensure a meaningful learning experience.

To apply for the Facilitator, Data Science position at Flatiron School, candidates should have at least 4 years of professional experience in the field, preferably along with some mentoring or leadership experience. While direct teaching experience is beneficial, demonstrating a commitment to guiding and empowering others is essential. Familiarity with industry trends and the ability to connect curriculum concepts to practical applications is also highly valued.

The Facilitator, Data Science position at Flatiron School is structured as a part-time, fixed-term contract requiring up to 6 hours of work per week. This includes two 90-minute synchronous sessions held on Tuesdays and Thursdays at 7 PM CT, along with time dedicated to providing personalized feedback on learner projects.

The schedule for the Facilitator, Data Science position at Flatiron School consists of two 90-minute synchronous sessions each week on Tuesdays and Thursdays at 7 PM CT. The entire contract lasts for 3 weeks, allowing you to engage deeply with learners while flexibly managing your time around these sessions.

As a Facilitator, Data Science at Flatiron School, you will provide personalized written and video feedback on projects assigned during the course. Your feedback will focus on constructive assessment, aimed at helping learners refine their skills, enhance their understanding, and achieve their individual goals in the data science field.

My teaching style as a Facilitator in Data Science is a blend of collaborative engagement and hands-on application. I believe in fostering a supportive environment where learners feel comfortable asking questions and sharing ideas. I also prioritize real-world relevance, connecting course concepts to practical applications to enhance comprehension.

Absolutely! In my previous role, I mentored a junior data analyst who struggled with statistical analysis. I tailored our sessions to focus on applying concepts to real-world examples, providing both guidance and resources. Over time, they grew confident and successfully improved their data interpretation skills, leading to a significant contribution to our team projects.

To keep students engaged during my sessions, I incorporate interactive elements like discussions and hands-on exercises. I also encourage questions and adapt our conversation based on learners' interests and feedback, ensuring they feel involved and invested in the learning process.

In a remote learning environment, I utilize a combination of assessments, including quizzes, project submissions, and one-on-one feedback sessions. Continuous assessment allows me to monitor learners’ progress effectively and provide support tailored to their individual needs, helping them stay on track.

Essential skills for a Data Science facilitator include a deep understanding of data science concepts, strong communication and interpersonal skills, and a passion for mentorship. Additionally, being adaptable and proficient in various teaching tools is crucial to facilitate a successful remote learning experience.

When faced with challenging questions from students, I approach them with openness and curiosity. I encourage a discussion that allows us to explore the topic together, and if I don't have the answer, I am honest and suggest resources to help find it. This approach models intellectual humility and fosters a collaborative learning environment.

To effectively connect theory to practice, I incorporate case studies and real-world projects into my facilitation. This approach helps students see the relevance of theoretical concepts, enhancing their understanding and allowing them to apply what they've learned in practical, real-world contexts.

Feedback plays a pivotal role in my facilitation style. I believe that constructive feedback not only helps learners identify areas for improvement but also reinforces their strengths. I provide personalized, timely feedback to nurture growth, ensuring learners feel supported throughout their journey.

Creating a welcoming environment starts with setting the tone in my initial sessions by introducing myself authentically and encouraging interaction. I facilitate ice breaker activities, promote inclusiveness, and maintain an open-door policy for learners to express concerns or seek guidance at any point.

I am motivated to be a Facilitator at Flatiron School because I truly believe in the power of education to transform lives. Being part of a community dedicated to supporting aspiring technologists is inspiring, and I am excited to contribute to shaping the next generation of talent in the tech industry.