Connecting...

Associate/Data Scientist - Commercial/Hospitality/

Job Title: Associate/Data Scientist - Commercial/Hospitality/
Contract Type: Permanent
Location:
Industry: Consumer Retail & FMCG
Reference: 45853_1614572857
Contact Name: Sharon Tsu
Contact Email: sharon.tsu@kos-intl.com

Job Description

About The Client

Our client is a listed commercial organisation in Hong Kong with high market recognition by providing first-class service to customers and premium customer loyalty program. They are looking for an Associate/Data Scientist to join their team.

Job Description

  • Apply advanced analytical methods to translate unstructured business questions into quantitative problems
  • Deliver big data analytics from analysis to strategy through to solution exploration to implementation: data modelling, data mining & machine learning algorithms
  • Work with internal IT team to deploy complex and large amount of data across different channels and platforms, in order to provide advanced analytics support and insight
  • Work with business units to translate prototypes into new products, services, and features

Qualifications:

  • At least 1 year of experience in data science with proven track record of leveraging large amount of data in e-commerce, retail, and commercial industries
  • Bachelor's degree holder in Data Science, Information Technology, Statistics or other related disciplines
  • Proficient in Python for data processing and visualisation is a must
  • Solid experience in applying Big Data tools e.g. Hadoop, Spark
  • Familiar with machine learning algorithm and libraries e.g. TensorFlow, Scikit-learn
  • Strong in communication and interpersonal skills
  • Good command in Cantonese and English
  • Candidates with less or more experience will also be considered

Click "Apply Now" to apply for this position or call Sharon Tsu at +852 3180 4950 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.

Get similar jobs like these by email

By submitting your details you agree to our Privacy Policy