Country : Malaysia
  • Full-time

Data Mining Developer

Who we are

We are a company with aspirations to build the most enjoyable browsing & shopping experience in the world. We are fashion enthusiasts, computer scientists, and innovators. Our team members track record include serial entrepreneurs, veterans in the development community, industry thought leaders and have received recognitions such as Forbes 30 Under 30.


We work with local & international brands to bring their products to life - they include, Zalora, ASOS, Tobi, Fashion Valet, Boohoo, Cotton On and many others.


We are passionate about fashion, and about our users. We are motivated by providing the most enjoyable browsing & shopping experience to our users, personalised to each person. We want our users to feel good and look good with their fashion choice. We push boundaries on a daily basis, striving to improve the experience for our users and for self-learning.

At Shoppr, we practice flexible work arrangement in a results oriented work environment. Our team members enjoy a high level of autonomy and are empowered to make decisions and create impact. We cultivate growth, reward effort and celebrate achievements.

Not sure if fashion is for you? Don't worry, fashion knowledge isn't a pre-requisite and you will naturally come to understand the retail and fashion industry as you progress with us. Just ask our CTO, who used to wear Crocs and floral pants to work!

If you are entrepreneurial, passionate about what you do, like working in a family-like culture and loves taking challenges head on, then get in touch with us as we can't wait to meet you!



We are looking for individuals who are highly driven to succeed with a strong desire to build a career in the data field.

You will fit right in to our Data Mining & Categorisation team if you posses the following traits:

1. Resilience in solving problems

Possessing almost a kind of stubborn confidence, Individuals of this nature believe that problems are made to be solved and not avoided. Often you will try many different ways instead of giving up when presented with obstacles.

If you have a reputation for being a quitter or throws the first excuse that comes in mind when presented with a challenge, this role is not for you.

2. Scrupulous is your middle name

You are known amongst your friends to be the person who enjoy details and you do not shun from unravelling them.

When presented texts like this,




you believe it is just a matter of spending time to understand versus being overwhelmed with fear of failure.


3. Believes in efforts and results versus hours

Here at Shoppr, we do not believe in counting the hours you spend in the office. We are one of the only few results oriented work environment (ROWE) where you have the choice to come in to the office at 10AM instead of spending your time in the jam at 9AM. What matters more to us that you are an independent adult who is capable of managing your own schedule so you can do the best work possible.


We believe in an integrated work life. That means you should not burn yourself out from work, but neither should you shun from work when it is required after the official working days. Our official working days are from Monday to Friday but in the event of a system issue on the weekends, you will be expected to allocate time to fix the issue. Any work done on the weekend can be done at home and no office presence is required. If you desire a cushy 9-5 job with weekends absolutely off limits, this is not for you.


4. Strong aptitude to learn

You will be required to learn a lot of new things. If you are aware that change makes you uncomfortable, do reconsider your career choice in technology. Technology is fast paced, fun and we have access to the latest know-hows in the industry. Here at Shoppr, you will be part of a team that continues to learn and grow in both industry knowledge and technical skills.


5. If you made it here…

You should join us.


*Training is provided so it does not matter what language you know now. You will end up learning Python :).


Job Details

  • Build and iterate scalable data mining engines for data acquisition

  • Work with other agile teams on ideas and updates to APIs and Analytics processes


For IT graduates

A degree in Computer Science, Software Engineering or similar.


For Non-IT graduates

A degree, higher Diploma in Engineering, Architecture, Physics, Maths or related industry.


Other industry and self-taught Developers

Experience in development, programming languages and undertaken own projects.

Share with us the development project and how you worked on it.

Total applicants :10 Job posted 11 months ago Total Views : 495 Unique Views : 495

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