Global Fashion Group (“GFG”) is the #1 online fashion platform for emerging markets. It operates across four continents and 24 countries and employs over 9,000 people via its five ventures: ZALORA in Southeast Asia, THE ICONIC in Australia and New Zealand, NAMSHI in Middle-East, DAFITI in Brazil / Latam and LAMODA in Russia / Ukraine / Kazakhstan and Belarus.
At GFG, Technology is core to long-term success and is a crucial enabler of a great Customer Experience. We’re a mix of experts in fashion, logistics, data analytics, marketing, and design, guided by business consultants and tech geniuses – everyone contributes to the success of GFG.
If this sounds like your kind of gig, be part of a creative, passionate and dynamic team that works hard but throws a great party as well!
We are looking for a Data Scientist who:
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- Works along a feature team with cross-functional skills (Product Owner, Software Engineer, Ops) to find, implement and evaluate new Machine Learning (ML) prototypes around pricing, recommendation, personalized recommendation and advertising, demand forecast, etc. so that our software platforms continuously offer more and more relevant and efficient services / offers to our customers.
- Works together with our software engineers to help deploy the ML prototypes to effective and efficient models in production.
- Participates in building and upgrading our “Data as a Service” platform which will handle the huge amount of data of our ventures and offer to teams worldwide access to these data together with efficient engines for feature extraction or enriching their feature sets for ML models
Your Skills and Experience:
- Having a Ph.D. or Masters Degree in Computer Science, Applied Statistics, Mathematics or a related Quantitative Discipline.
- Having solid knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms.
- Having 3-5 years of work experience
- Being proficient in any of the following languages: R, Python, Scala or Java
- Being familiar with any of the following databases: MySQL, MongoDB, HBase, Cassandra.
- Having relevant working experience in an e-commerce environment where the models and algorithms you designed had a proven effect in the real life of customers.
- Knowing Hadoop or Spark is an advantage.
- Experience with AWS is a plus
Optional: Having knowledge in
- Object oriented design and design patterns
- Deep Learning methods
- Large-scale distributed systems
ZALORA Engineering
ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Macau, Taiwan, Indonesia, Philippines and Brunei. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.
ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.
The ZALORA Story
ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia’s leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA’s localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.
ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.
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