If you are interested in the job opening, please email [email protected] with your CV and specify the opening you are interested in.

Description

Hiring on behalf of Asia’s pre-eminent and one of the largest luxury lifestyle Group, with more than 400+ points of sale and millions of active luxury customers across Greater China, Southeast Asia, and online. Its companies are internationally recognised as benchmarks for retail innovation and creativity.

You will be working in the data lab.

Work Arrangements

Work hours: 9AM to 6PM
Workweek: Monday to Friday
Annual leaves: 12 days

Description

Being the Associate Data Scientist, the right candidate will

• Conduct data mining and feature engineering to support Data Scientists on modelling
• Develop intuitive and attractive static and interactive data visualizations using routine program
• Distill quantitative and qualitative data to communicate compelling stories to diverse audiences
• Training end users on new reports and dashboards.
• Supporting initiatives for data integrity and normalization.
• Provide quality assurance of imported data, working with quality assurance analyst if necessary.
• Interact with internal business units to understand business drivers and validate new data.
• Analyze existing data to generate insights for internal audience.
• Work closely with data engineering and data scientist to build ETL pipelines
• Manage and monitor multi-channel performance reports

Profile

• Bachelor’s / Master’s Degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Actuarial Science, Econometrics or related discipline.
• Experience in data mining, data manipulation, statistical analysis and data visualization.
• Above 2 to 3 years of working experience with big datasets and on large scale analytical projects.
• Experience working with and supporting Data Scientist along the data science journey.
• Experience with data analysis and data visualization using tools such as SAS, Excel, SPSS, R, Python.
• Knowledge of graphics and visualization tools such as Power BI, Tableau, DOMO, Adobe CS 5 Suite, Qlik.
• Ability to translate business requirements into non-technical, in layman terms.
• Strong interest in data science.
• Creative and curious with a can-do mentality.
• Strong communication skills.
• Excellent analytical skills.
• Critical thinking: able to look at numbers, trends, and data and come to new conclusions based on the findings.
• Ability to work with large amounts of information and see the 'bigger picture'.
• Fluent in English.
• Preferred background in retail, loyalty, e-commerce.