Data Science Mentor & Live Instructor – Remote

TripleTen; Buenos Aires; Presencial; ARS 57.412.758 - 95.687.930; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Training in mentoring and communication techniques

Opportunity to teach while continuing your main job

Cross-cultural collaboration experience

Comfortable digital office environment

Descripción de la vacante

TripleTen is looking for a Data Scientist mentor to guide students in mastering tech skills. The role involves hosting Q&A sessions, providing personalized support, and leading lessons. Ideal candidates will have over 2 years of data science experience, proficiency in Python, and knowledge of machine learning. You will enjoy collaborating remotely with a diverse team across the U.S. and Latin America, with a schedule that accommodates your main job. A supportive digital environment is ensured with modern tools.

Formación

• 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.
• Intermediate English level.
• Native or advanced Spanish proficiency.

Responsabilidades

• 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.
• Lead live lessons on core program topics and industry-relevant skills.
• Review student projects and provide feedback based on program standards.

Conocimientos

Data Science

Python

Machine Learning

Communication

Mentoring

Herramientas

Pandas

NumPy

Matplotlib

Scikit-learn

Descripción del empleo

TripleTen is looking for a Data Scientist mentor to guide students in mastering tech skills. The role involves hosting Q&A sessions, providing personalized support, and leading lessons. Ideal candidates will have over 2 years of data science experience, proficiency in Python, and knowledge of machine learning. You will enjoy collaborating remotely with a diverse team across the U.S. and Latin America, with a schedule that accommodates your main job. A supportive digital environment is ensured with modern tools.