茶蛋内推 | Twitter喊你来新加坡工作!

为了帮助更多的小朋友找到好实习or好工作,我们积极发动身边的亲朋好友,提供工作内推的资源,在“茶简历和蛋文书”上不定期发布。
和市面上兜售实习和正式Offer的行为不同,我们内推算是公益劳动啦,只是希望能够力所能及打捞无助的小盆友们。我们会对发来的简历进行审核,审核通过后转投递给相关职位的联系人。请注意,我们不保证每个投递的简历都会获得内推甚至面试的机会。
希望我们折腾一番能够对大家有所帮助,请大家仔细阅读职位要求后再投递!
我和小茶都有朋友在Twitter,这是一个神奇的公司:虽然退出中国,但依然在做中国国内市场,所有服务中国市场的团队,都Base在新加坡,Pay优福利好,硅谷科技工作氛围,满足你对外企和优质互联网公司的一切幻想!
下面这个职位适合学数学,BA,统计等专业同学,要求有2年左右的数据建模,预测模型方面的工作经验。
如果想出国工作试试的同学,请不要犹豫哦!当然未来如果有非技术类的岗位,我们也会持续推荐的!
【 Twitter招聘1枚 Data Scientist -Self Serve Ads】
地点:新加坡
我们是谁:
We are responsible for helping to drive global initiatives for Twitter’s Self Serve Ads (SSA) team.The SSA data science team utilizes a data-driven, analytical and programmatic approach to projects – from design to launch.These projects help generate significant revenue growth and commit directly to advertisers’ satisfaction and are accomplished through collaborating extensively with cross-functional teams across Data Science, Customer Success, Marketing, Operations, and Engineering.You will work closely with cross-functional leaders to lead seamless execution, analysis, and improvement of our global programs. Through analyzing large volumes of data both from Twitter users and Twitter advertisers, you’ll help Twitter grow revenue globally and scalably.
岗位职责
– Become an expert ondata sources and systems at Twitter.- Analyzethe internal and external data, synthesize raw information into insights, recommendations, dashboards, and reports.- Partner with Product, Engineering, Marketing, Sales and Customer Success teams to help resolve broader business problems through data and analytics.- Build, maintain and improve analytical algorithms and models that translate data into revenue.- Clearly communicate findings to senior management and to the broader organization.
岗位要求:
– BA/BS degree with a quantitative focus (computer science, mathematics, statistics, etc.), advanced degrees highly preferred- 2+ years of work experience in predictive analytics/statistical modeling/machine learning/data mining- Experience interacting with #BigData data sources, using a combination of SQL/NoSQL technologies: Pig/Hive/Map-Reduce/Scalding/Spark/Vertica- Experience with at least one programming languages such as Python, Java, Scala, C++- Knowledge of digital ad space or social media data preferred
以上职位内推流程:
根据职位需求修改简历;
*如果想要小茶和Frank的免费点评,请帮忙转发我们任意微博/微信内容;
转发本文至PYQ(无分组)或100人以上大群,把转发截图和简历发送至:cvhelp@163.com;
邮件命名方式:内推申请_职位名称_申请人姓名;
写一个简短扼要的邮件(正文没内容者一律不考虑)。
该简历投递期限为:2020年3月1日前。
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