Data Scientist

KFit

Kuala Lumpur, MY
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/19/2021
  • Website: kfit.com
  • Company Address: , Kuala Lumpur

About KFit

KFit is a multi-sided mobile marketplace for the fitness industry.

Job Description

Fave is Southeast Asia's fast growing fintech platform providing payments & loyalty solutions to offline merchants to grow and connect with their customers in a whole new way. Fave is on a mission to accelerate the offline world’s transition to the digital economy by putting growth at the centre of our merchants, our customers, our people and our partners because growth is good for everyone.

 
Fave connects merchants and consumers to deliver seamless QR payment experience and merchant loyalty cashback rewards. It serves as a payment aggregator for the most popular cards (Visa, Mastercard, AMEX) and wallets (GrabPay, Boost, OVO). Integrated with other strategic partners Fave offers merchants more value add and more customer exposure through marketing, data, financing and operations. Merchants can now focus on what they do best for their customers; because everything else is taken care of.
 
Hustling in a fast-paced scaling up start-up can be incredibly rewarding. At Fave, we make it all the more fun with offices designed for collaboration, productivity, and play. You get unlimited access to people (founders included), opportunities to learn, coffee, and WiFi – and we consider these the basic necessities! There’s also an office indoor mini golf course, ping pong, cool pantry, FaveUp learning sessions featuring industry veterans, movie nights, and lots more!
 
This role is based out of our headquarters in Kuala Lumpur, where you will work with fun, driven, and diverse teams of product managers, designers, engineers and even sales and marketing folks. 
 
If being a part of a digital revolution in the fastest-growing region in the world excites you, get in touch today!
 
As a Data Scientist, you will:-
  • manage and improvise the personalisation engine
  • develop custom data models and algorithms to apply to data sets
  • optimise customer experiences, revenue generation, ad targeting and other business opportunities using predictive modelling
  • understand pre-processing and data pipeline techniques
  • collaborate with Data Engineering team, Engineering team and Product team
  • work closely with other stakeholders to understand business problem, identify and optimise business opportunities

Requirements:

  • Good experience in Python/Scale/Java
  • Good understanding of machine learning and operations research
  • Strong in math skills such as statistics, calculus etc
  • Experience in cloud technolohies is a plus point 
  • Good in problem solving

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.