长沙招聘

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.

CTR-洞察中国市场的专业品牌，是中国国际电视总公司和全球知名市场研究品牌Kantar集团合资的股份制企业。

多年的行业经验告诉我们，实时动态的数据库研究和富有洞察力的市场解读、前瞻性的趋势分析是客户商业决策的重要依据。 CTR提供多种连续数据库并结合多年丰富的本土实践经验与国际知名的研究模型和商业解决方案，帮助客户深入理解其商业环境，展现他们面临的商机和危机，把信息化的数字和前瞻性的趋势分析提供给企业作为营销决策的依据，成为企业赢在中国的市场研究合作伙伴。

作为中国***的市场资讯及研究分析服务提供商，我们的研究聚焦在“媒介经营管理”、“品牌与广告传播”和“消费者研究”三大领域， 为客户提供全方位高附加值数据、发现和洞察等市场研究服务。尤其在360°营销传播监测，消费者购买与使用行为测量，媒体的价值评估等专业研究领域占据领导地位。

CTR拥有一流的专业研究团队，在全国范围内有超过630名全职专业研究及服务人员，在北京、上海、广州、香港和福州分公司为超过2000多家本土和国际知名企业、广告公司和媒介主提供专业的市场研究服务，监测网络覆盖中国近500个城市。更多资讯，请访问我们的官网***************或微博*********/chinainsight。

CTR Profile
CTR is the leading market information and insight provider in China. We are a joint venture company between CITVC and Kantar Group, one of the world's largest market research, insight and consultancy networks.

Our strategic goal is to be the preferred research partner and market leader in delivering value‐added marketing information and insights to help our clients make more ffective
business decisions. This strategy drives all of our areas of expertise and service.

As the foremost provider in China, we integrate our local expertise with cutting‐edge research technology and innovative thinking to meet our clients’ needs for 360° media
intelligence monitoring at all touch points. We analyze consumer responses to marketing across all kinds of media, provide in‐depth profiles of consumer products and markets, as well as strategies for retail service management.

We employ over 530 full‐time professional researchers and interviewers and manage China’s largest monitoring network covering 500 cities. Our dedicated teams in Beijing, Shanghai, Guangzhou, Hong Kong SAR and Fuzhou offices are always there to serve over 1,500 enterprises, media owners and advertising agencies across the country. For further
information, please visit our homepage at ***************.