Canopy

ImagineX Group - Data Scientist

Mid Level
Hong Kong
Data Scientist
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About Us

Founded in 1992, ImagineX Group is China’s first fashion, beauty and lifestyle brand management and distribution company with unrivalled coverage of market and channels. Building luxury, designer and premium contemporary fashion and lifestyle businesses with an entrepreneurial approach and the passion of a brand owner, ImagineX Group currently operates more than 500 points of sale across more than 44 cities in China and South East Asia. ImagineX Group forms part of The Lane Crawford Joyce Group, Asia’s premier fashion retail, brand management and distribution group, which also includes iconic, luxury department store Lane Crawford; cutting edge fashion boutique Joyce; and fashion footwear, bags and accessories specialist Pedder Group.

Who we're looking for

Are you a passionate talent who can think out of the box to help driving the business with a new approach? ImagineX Group is a premier retail, brand management and distribution company. We build luxury, designer and premium contemporary fashion, beauty and lifestyle businesses with an entrepreneurial approach and the passion and flair of a brand owner.

We are now inviting a self-motivated, creative and talented Data Scientist to join our Beta Labs.


What you will be doing in this role
  • 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
About you
  • Bachelor’s / Master’s Degree holder in relevant field (i.e. Mathematics, Statistics, Physics, Computer Science, Engineering, Econometrics)
  • 3-5 Years of work experience 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
  • Working knowledge in NLP techniques such as topic modelling, named-entity recognition. semantic analysis, intent recognition, etc is a plus
  • Working knowledge in image processing techniques such as image segmentation, Feature Matching, Image classification, Edge and Contour Detection techniques, etc is a plus
  • 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
  • Experience in retail, loyalty, ecommerce, merchandising or consulting is preferred
  • Good command of written and spoken English and Cantonese

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One Island South, 2 Heung Yip Road
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