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Data Science Instructor

TripleTen
Remote
Remote

About this role

Job title: Data Science Instructor

About the Role TripleTen is seeking experienced Data Science professionals to support and guide students on their path to becoming professional developers in a full-time teaching role. The position requires approximately 40 hours per week, with a flexible schedule focused on supporting learners 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

Compensation & Benefits

  • Training in mentoring and communication techniques
  • The opportunity to teach while continuing your main job
  • The chance to share knowledge and experience 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. We use modern digital tools such as Miro, Notion, Zoom, and others to ensure smooth collaboration
  • A diverse and close-knit team distributed across the U.S. and Latin America

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