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Data Science Code Reviewer
Company | TripleTen |
Address | Area DKI Jakarta, Indonesia |
Employment type | PART_TIME |
Salary | |
Category | Penyedia Jasa Pembelajaran Online |
Expires | 2023-09-21 |
Posted at | 8 months ago |
At TripleTen, we're building an international family of digital re-skilling products to help people with versatile backgrounds learn a new profession and build a sustainable career in tech. Our program graduates have landed jobs at top companies like Tesla, Spotify, PlayStation, Google, and Microsoft. So far, over 5,000 students have chosen TripleTen, and hundreds of new students are joining us each month. We believe everyone can jumpstart a new career, which is why we produce quality educational content and offer intensive courses in tech complete with full access to an interactive platform, code reviews, and support from industry practitioners.
What We're Looking For
For the Data Science and Data Analysis programs, we are looking for an experienced data scientist to review our students and help them successfully become professionals.
What you will do::
You will check the student code and provide feedback. Further, it's your responsibility to decide whether or not to grant credit for their assignments. This person will also provide advice on improving the code, note any inaccuracies, and point out errors.
Requirements:
What We're Looking For
For the Data Science and Data Analysis programs, we are looking for an experienced data scientist to review our students and help them successfully become professionals.
What you will do::
You will check the student code and provide feedback. Further, it's your responsibility to decide whether or not to grant credit for their assignments. This person will also provide advice on improving the code, note any inaccuracies, and point out errors.
Requirements:
- Familiar with the Pandas, NumPy, Matplotlib, Sklearn libraries;
- Readiness to dedicate at least 10 hours a week to review the student code.
- Proficient English, Indonesian languages;
- Experience working as an analyst using Python;
- Experience working with machine learning projects for more than a year;
- Cross-cultural work experience in mentoring and conducting webinars;
- Sharing experience with professionals in our community;
- Training in code review and communication techniques;
- Competitive payment which depends on the number of checked tasks.
- The ability to work while performing your primary job;
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