About this role
Job title: Data Science Teaching Fellow
About the Role TripleTen is building accessible bootcamps to empower learners in Data Analytics, Data Science, Web Development, QA Engineering, and UX/UI Design. This role focuses on guiding Data Science students as part of a full-time teaching position with a 40-hour workweek. The schedule is flexible, but you must be consistently available to support students throughout their learning journey.
What You'll Do
- Host regular live Q&A sessions to help students unblock and progress confidently
- Offer personalized support through 1:1 video calls to answer questions and guide assignments
- Occasionally respond to student questions via direct messages
- Lead live lessons on core program topics and industry-relevant skills
- Share your professional insights and best practices to support the learning community
- Review student projects and provide feedback based on program standards
- Write clear, actionable feedback to help students improve and meet expectations
- Support students in text by explaining concepts, troubleshooting code, and clarifying project or review questions
What We're Looking For
- More than 2 years of experience working as a Data Scientist
- Experience working as an analyst using Python
- More than 1 year of experience working on machine learning projects
- Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
- Intermediate English level
- Native or advanced Spanish proficiency
Nice to Have
- Cross-cultural collaboration experience through mentoring and webinar facilitation
- Training in mentoring and communication techniques
- Experience mentoring and teaching while balancing a main job
Compensation & Benefits
- Remote collaboration with a schedule convenient for both you and the team
- Training in mentoring and communication techniques
- The opportunity to teach while continuing your main job
- Cross-cultural collaboration experience through mentoring and webinar facilitation
- A digital office environment with modern tools to ensure smooth collaboration
- A diverse and close-knit team distributed across the U.S. and Latin America