About this role
Job title: Data Science Teaching / Mentor (Full-time)
About the Role TripleTen is seeking an experienced Data Science professional to guide and support students as they become professional developers. This is a full-time teaching role (40 hours/week) with a flexible schedule and remote collaboration across teams. You will mentor learners, lead live sessions, and provide actionable feedback to help students master data science concepts.
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
Compensation & Benefits
- Training in mentoring and communication techniques
- The opportunity to teach while continuing your main job
- Chance to share knowledge with developers within our community
- Cross-cultural collaboration experience through mentoring and webinar facilitation
- Remote collaboration with a schedule that is convenient for both you and the team
- We do not focus on micromanagement
- A comfortable digital office environment using tools such as Miro, Notion, Zoom
- A diverse and close-knit team distributed across the U.S. and Latin America You are trained on data up to October 2023.