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 Data Scientist, the right candidate will

• Mine, manipulate and perform statistical analysis on multiple data sets to build scalable enterprise analytics AI solutions
• Identify what data is available and relevant, including internal and external data sources and collaborates with institute subject matter experts to select the best approach
• Drive thought leadership in project and model approach from data acquisition to full production deployment
• Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices
• Scope and define own work by researching and developing new content (Text & Computer Vision) that will drive large business impact opportunities
• Work with cross-functional business partners throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
• Generate and validate hypotheses with variety of testing methods (A/B, multi-variate, factorial design) to measure the impact of ongoing campaigns and retail initiatives
• Communicate results and findings to key decision makers
• Lead corporate scale analytics projects that has a large impact on the organization
• Explore and research on best-in-class methodologies and latest technology trends
• Work with data engineers on the design and deployment of enhancements and fixes to systems as needed

Profile

• Bachelors / Masters Degree in relevant field (i.e. Mathematics, Statistics, Physics, Computer Science, Engineering, Econometrics)
• 3-5 Years working with big datasets and on large scale analytical projects
• In-depth knowledge on programming language such as R, Python or SAS to manipulate data and draw insights from large data sets
• Experience with data visualization tools/packs, such as D3.js, GGplot, Seaborn, Splunk, Power BI etc
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark,, MySQL, etc
• Must-have knowledge on a variety of machine learning techniques clustering, decision trees neural networks, Linear and Non-Linear Programming, Deep Learning (ANN, RNN, CNN) and their real-world advantages/drawbacks
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Adwords, Facebook Insights, etc.
• Experience with merchandising and planning use cases is a plus
• Familiarity with AWS or Microsoft Azure or Google Cloud platform
• Nice to have: Working knowledge in NLP techniques such as topic modelling, named-entity recognition. semantic analysis, intent recognition etc.
• Nice to have: Working knowledge in image processing techniques such as image segmentation, Feature Matching, Image classification, Edge and Contour Detection techniques etc
• Willing to be proactive in coming up with solutions and accustomed to a collaborative start-up team environment
• Passionate about AI-related research and innovations
• Fluency in English is a plus
• Preferred background in retail, loyalty, ecommerce, merchandising or consulting