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Data Science Mentor - Remote

Posted 7 weeks ago
Data Analysis
Contract
Peru
Competitive payment based on tasks

Overview

We are looking for an experienced data scientist to mentor students in our Data Science program by reviewing their projects and providing constructive feedback to help them succeed in their careers.

In Short

  • Review student projects and provide feedback on their code.
  • Decide on credit for assignments based on code quality.
  • Provide advice on code improvement and identify inaccuracies.
  • Must dedicate at least 10 hours a week.
  • Experience in Python and machine learning is required.
  • Intermediate English and proficient Spanish are necessary.
  • Remote work with flexible scheduling.
  • Utilize modern digital tools for collaboration.
  • Join a diverse team across the US, Israel, and LatAm.
  • Competitive payment based on the number of tasks checked.

Requirements

  • Experience as an analyst using Python.
  • Over a year of experience with machine learning projects.
  • Familiarity with Pandas, NumPy, Matplotlib, and Sklearn.
  • Ability to conduct code reviews while managing primary job responsibilities.
  • Experience in mentoring and conducting webinars.
  • Training in code review and communication techniques.

Benefits

  • Remote cooperation with a flexible schedule.
  • A comfortable digital office environment.
  • Access to modern collaboration tools like Miro, Notion, and Zoom.
  • Work with a diverse and close-knit team.
  • Competitive payment based on the number of tasks checked.
TripleTen logo

TripleTen

TripleTen is an innovative educational service dedicated to empowering individuals to master IT professions such as software engineering, data science, business intelligence analytics, and QA engineering, regardless of their prior experience. With a mission to provide every student the opportunity to succeed in the tech industry, TripleTen is producing highly sought-after tech professionals in the competitive US EdTech market. The company focuses on enhancing learning experiences through platform improvements and service development, aiming for global expansion while fostering a diverse and collaborative team environment.

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