Shopee Singapore National Data Science Challenge 2019, Singapore

Are you looking for a new challenge? Do you want to solve problems like a Data Scientist? Apply for the Shopee Singapore National Data Science Challenge 2019. The theme of the National Data Science Challenge 2019 is Product Information Extraction in the Wild – a challenge to extract insightful knowledge from large volumes of textual and visual data using Machine Learning Analytics.

The objectives of the National Data Science Challenge (NDSC) are to:

• Equip students and professionals with essential technical skills and expertise to prepare them for the digital and data-driven economy
• Bring the tech community closer through working together and knowledge sharing
• Provide an environment for the development of creative new ideas in Data Science
• Through this competition, they hope to showcase the ubiquity and usefulness of data in getting insights, thus reinforcing Singapore’s emphasis on driving the digital economy and the use of big data.

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Benefit:
The Top 3 teams and the Most Creative Team from each category will win attractive cash prizes!

• Champion
  SGD 3000
  Full-time/internship opportunities in Shopee
  Return ticket to visit Shopee Shenzhen Tech Centre 
• 1st Runner-up
  SGD 2000
  Full-time/internship opportunities in Shopee 
• 2nd Runner-up
  SGD 1000
  Full-time/internship opportunities in Shopee 
• Most Creative Team
  SGD 800
  Full-time/internship opportunities in Shopee

All participants will receive a certificate of accomplishment at the end of the closing ceremony only if their project has been submitted successfully before the deadline.

Requirement:
Open to students currently enrolled in junior colleges, polytechnics or universities in Singapore (including exchange students) as well as non-tech and tech professionals working in Singapore;
Employees of Sea Limited are not eligible to participate in the challenge in the interest of fairness.

How to Apply:

Please visit HERE for applying

Deadline:
09 February 2019

Source:

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