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Part-time Data Science Code Reviewer - Remote

Posted Yesterday
Data Analysis
Part Time
MX
1500 USD/month

Overview

TripleTen is a service that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading them to thrive in a new career.

In Short

  • Review student code and provide feedback.
  • Grant credits based on assignment results.
  • Advise on code improvement and identify errors.
  • Experience in Python and machine learning required.
  • Familiarity with Pandas, NumPy, Matplotlib, Sklearn.
  • At least 10 hours per week commitment.
  • Intermediate English and proficient Spanish needed.
  • Fully remote flexible collaboration.
  • Fixed payment of 1500 USD gross per month.
  • Training in code review and communication techniques.

Requirements

  • Experience working as an analyst using Python.
  • Experience with machine learning projects for over a year.
  • Familiarity with Pandas, NumPy, Matplotlib, Sklearn.
  • Readiness to dedicate at least 10 hours a week.
  • Intermediate English and proficient Spanish.

Benefits

  • Flexible remote work.
  • Fixed payment of 1500 USD gross per month.
  • Training in code review and communication techniques.
  • Opportunity to mentor students while working.
  • Experience with a diverse team across the US, Israel, and LatAm.
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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