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Evergreen - Data Science Code Reviewer - Remote

Posted 10 weeks ago
Data Analysis
Part Time
US Virgin Islands
Competitive payment based on the number of reviewed projects
Data Science
Python
Machine Learning
SQL
Data Visualization
Feedback
Project Review

Overview

TripleTen is seeking an experienced data scientist to review student projects and provide feedback, helping them to become professionals in the field of Data Science.

In Short

  • Review student projects in Data Science.
  • Provide feedback and advice on improvements.
  • Check for project acceptance or necessary iterations.
  • Proficient English required.
  • 1+ years of experience in Data Science.
  • Knowledge of Python, Machine Learning, and SQL.
  • Ability to explain Data Science concepts clearly.
  • Commit to at least 10 hours a week.
  • Experience in advanced Data Science concepts is a plus.
  • Competitive payment based on reviewed projects.

Requirements

  • Proficient English.
  • 1+ years of experience as a Data Scientist.
  • Experience with Python, Machine Learning, and SQL.
  • Ability to explain Data Science topics to students.
  • Willingness to dedicate at least 10 hours a week.
  • Additional experience in Computer Vision and Sentiment Analysis is advantageous.

Benefits

  • Training in review and communication techniques.
  • Ability to work alongside your primary job.
  • Networking opportunities with DS professionals.
  • Cross-cultural, international work experience.
  • Competitive payment based on the number of reviewed projects.
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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