Job Description

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.

Beta Labs is a new data science initiative from The Lane Crawford Joyce Group maximizing the value of the Group’s assets across its retail and distribution businesses, Lane Crawford, Joyce, Pedder Group and ImagineX.

The Group is Asia’s pre-eminent luxury lifestyle Group, with more than 450 points of sale and 1.5 million active luxury customers across Greater China and online. Its companies are internationally recognised as benchmarks for retail innovation and creativity.

Beta Labs aims to support the paradigm shift in retail by driving business insights through data solutions. We are looking for data scientists, engineers, and digital domain experts to join us to explore the potential value and possibilities to innovate personalisation and customer experience. You will have access to our assets and analyse on top of Hadoop and Spark.

If you thrive in a fast-paced environment, possess an entrepreneurial spirit and are passionate about data analysis with a focus on the end user, we’d like to hear from you.

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


  • 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


900K ~ 1.4M TWD/year



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About us

俊思集團〈ImagineX Group〉成功地於大中華地區行銷管理世界知名品牌商品,其代理品牌經營領域橫跨流行時尚服飾、精品配件、香水、化妝品與生活時尚用品等約20支世界知名品牌;同時亦為許多精品品牌於大中華地區之代理品牌管理顧問公司。俊思集團透過長期以來所累積的品牌代理與零售管理等寶貴經驗,運用確切的品牌定位與有效的行銷推廣,深深獲得廣大消費者的支持與推崇。

2001年2月俊思集團於台灣成立香港商俊思海外有限公司台灣分公司〈ImagineX Overseas Ltd., Taiwan Branch〉,藉由優厚的集團資源與優越的管理經驗,除了扮演專業品牌代理商與進口商的職責外,身為國際知名品牌合作夥伴的台灣俊思,更針對旗下之所有品牌建立確切的品牌定位與市場區隔,並量身規劃適切的市場發展計劃與優質有效的行銷推廣方向,期待務必符合個別品牌之經營策略與品牌形象。

**Information provided is strictly confidential and intended only for recruitment purpose.The Company may refer suitable applicants to the associated Group of companies.**


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