Shoppr
Country : Malaysia
  • Full-time

Data Scientist - Shoppr | Fashion

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 includes serial entrepreneurs, veterans in the development community, industry thought leaders and have received recognitions such as Forbes 30 Under 30 & HSBC Female Entrepreneur 2016.

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.

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.

Responsibilities

Shoppr's lead data scientist is an ex-nuclear physicist from CERN, one of the largest nuclear physics labs in the world.

Shoppr is looking for a highly-motivated data scientist to join our team and support us in developing cutting edge trend and fashion indexing systems.

  • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles
  • Build, test and deploy machine learning models to combat fraud and other payment risk issues
  • Research & development on how to improve fashion trends prediction around the world

Do you want to experience working in a fast-paced environment with new challenges every day? This is the place.

Requirements

  • Strong mathematical, statistical or actuarial background
  • Must have hands on experience in machine learning, predictive analytics and statistical modelling
  • Adept at problem solving using both textbook methods and novel viewpoints
  • Proficiency in either R, Python, Matlab or other analytics/data mining package
  • Knowledge of big data technologies and machine learning algorithms will be an advantage
  • Preferably familiar with Big Data applications/solutions such as Hadoop, Spark, MongoDB, ElasticSearch, Kibana and etc
  • Preferably familiar with data visualization techniques using one or more packages such Tableau, Weka or D3 visualisation.
  • Mininum 3 years working experience.

Salary

4000 - 9000 MYR

Total applicants :7 Job posted 1 month ago Total Views : 104 Unique Views : 104 Today Views : 3


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