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Data Science Mentor

TripleTen
Remote
Remote

About this role

About the Role

We are continuously looking for experienced Data Science professionals who want to support and guide our students on their path to becoming professional developers. This is a full-time teaching role with an expectation of 40 hours per week. The schedule can be 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
  • Remote collaboration experience

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
  • Remote collaboration with a schedule that is convenient for both you and the team
  • A comfortable digital office environment
  • A diverse and close-knit team distributed across the U.S. and Latin America

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