Main Duties / Tasks

The project you’ll be working on aims at enabling real-time purchase data collection, using the Image Recognition (machine learning) technology, ensuring commercially sensible findings out of the data, and the production of verifiable analytics.

You’ll be tasked to:

？ Analyze the collected data and help identify:

？ Abnormal / fraudulent shopping behaviour and help design counter-measures

？ Patterns and methods to bring together parallel data flows (data matching)

？ Resolve ambiguities using alternate data sources (data inference) based on various commercial scenarios

？ Productionise the above data matching, fraud detection, and data inference, by putting it into a machine-learning environment

？ Develop algorithm as well as statistical models to match and maximize the current data usage/automation.

What we’ll be looking for in you:

？ Personal traits: stimulated by creative problem solving, comfortable with number, comfortable with ambiguity, work well autonomously but also happy to sit as part of a team, can focus on one specific task and not getting bored by the task, willing to learn and able to learn fast.

？ Professional skills: excellent analytical skills; strong communication as you’ll need to explain the complex technical issues to people who might not have the data science background; influencing the others in a rational way; creative thinking and solution-oriented; familiar with reporting automation (VBA), data analytics (SAS), analytical innovation and automation; computer coding skill is a plus but definitely not a must-have.

？ Academic background: Bachelor degree or above. Those who majored in Mathematics, Economics, Econometrics, Finance and Investment might find quicker assimilation to the role but we do not intend to limit the range at all. Fluent in both English and Chinese.

？ Work experience: Your years of work experience can be from zero to as many as is. We will tailor your talent in different level of roles ranging from Data

Science Executive to Data Science Director. Certainly if you have worked in mobile research agency or technology company before, or if you have customized research experience before, or worked in a data analytics and research or statistics role, that would be a preferential advantage.

上班地址：德外大街5号