About the role
Description
TripleTen is a service that empowers people, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in Data Analytics, Data Science, Web Development, Quality Assurance (QA) Engineering, and UX/UI Design — in an accessible and practical way, supporting them until they successfully thrive in a new career.
🚀 Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the tech industry.
What is our goal? 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.
How to apply? Apply here. We review applications on a rolling basis, and candidates whose profiles align with the role will be invited to complete a digital interview, and complete a short technical test task.
If a vacancy is available, we will assign it to you right away; otherwise, we will keep your profile and completed task on file for future opportunities.
📌 Please submit your CV in English.
What you will 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
Requirements
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.
What we can offer you
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.
Originally posted on Himalayas