Founded in 2015 in Hong Kong, with the mission to maximize human learning ability with personalized learning, Snapask connects students to quality tutors for instant 1-on-1 learning support. Our technologies optimise students' learning experience with efficient and accurate tutor matching, content recommendation and learning data visualisation. Snapask is now in 8 markets in Asia including Taiwan, Hong Kong, Singapore, Malaysia, Thailand, Indonesia, Japan and South Korea, supporting over 3 million students with over 350,000 qualified tutors from top universities.
Founded in 2015 in Hong Kong, with the mission to maximize human learning ability with personalized learning, Snapask connects students to quality tutors for instant 1-on-1 learning support. Our technologies optimise students' learning experience with efficient and accurate tutor matching, content recommendation and learning data visualisation. Snapask is now in 8 markets in Asia including Taiwan, Hong Kong, Singapore, Malaysia, Thailand, Indonesia, Japan and South Korea, supporting over 3 million students with over 350,000 qualified tutors from top universities.
On top of offering subscriptions on tutor Q&A service, we develop topic-based academic courses with live coaching support for students going through exam-preparations in high schools and universities. We are looking for talents specialised in the data analysis field to join us, to create and redefine the next generation of education.
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Be responsible for analysis (1) our Quizzes, (2) Student/Tutor Conversation, (3) Concept of each Subject.
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Analyze Quizzes Data, tag relevant concept and difficulty.
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Analyze Conversation to understand student knowledge level.
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Analyze student testing score to understand student knowledge level.
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Perform a good Recommendation system so student can improve step by step gradually.
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3+ years Data Science related working experience
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Familiar with Python or R
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Experience in BigData infra build up, warehouse, data processing system.
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Experience in Data Visualization software, like Tableau, Hue, etc.
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Experience in any Machine Learning methodology.
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Experience in AWS environment.
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Click the APPLY button below to send us an email.
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Be sure to attach your latest resume and a letter of intent, as well as your latest portfolio if you are applying for a design related position.