职位名称：数据科学内容营运助理
工作地点：远程
实习期：3-6个月

工作职责：
1、获取和筛选数据科学行业和市场信息；
2、对公司网站信息，及外媒行业新闻进行中文翻译，每周完成4篇；
3、协助创作产品营销内容。

工作要求：
1、细心踏实，沟通能力强；
2、良好的语言组织能力，以及英语阅读、翻译技能；
3、对数据科学/统计学知识感兴趣，具有一定专业知识，熟悉相关专业术语；
4、具有图片处理能力者优先。
5、申请资料（简历/翻译片段）请发至 youjun.zhai@nycdatascience.com
如符合要求，我们会通过电话或邮件与您联系。

Translation Sample 1：

Introduction:
The costs of fatalities and injuries due to traffic accidents have a great impact on the society. In recent years, researchers have paid increasing attention to determining factors that significantly affect severity of driver injuries caused by traffic accidents. Applying data mining techniques to model traffic accident data records can help to understand the characteristics of driver's behaviour, roadway condition and weather condition that were causally connected with different injury severity.

Translation Sample 2：

Next we used ensemble learning to combine our models. Ensemble machine learning methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms. Stacking is a broad class of algorithms that involves training a second-level "metalearner" to ensemble a group of base learners. The type of ensemble learning implemented in H2O is called "super learning", "stacked regression" or "stacking." Unlike bagging and boosting, the goal in stacking is to ensemble strong, diverse sets of learners together. In order to train the ensemble we did the following.
o    Trained each of the L base algorithms on the training set.
o    Performed k-fold cross-validation on each of these learners and collected the cross-validated predicted values from each of the L algorithms.
o    Combined the N cross-validated predicted values from each of the L algorithms to form a new N x L matrix. This matrix, along with the original response vector, is called the "level-one" data.
o    Trained the metalearning algorithm on the level-one data.
o    Used the "ensemble model" consisting of the L base learning models and the metalearning model, to generate predictions on a test set.

Data Science Content Operation Assistant


Working Venue: Remotely
Intern Period: 3-6 months

Job Description:
1.    Collect information of data science industry and market;
2.    Translate students projects, company website content and data science news to Chinese, 4 articles per week;
3.    Assist to create marketing content.

Requirement:
1.    Careful and strict with details, strong communication skills;
2.    Good English translation skills;
3.    Basic knowledge of data science and familiar with data science terminology;
4.    Photoshop or other images process skills will be a plus;
5.    Please send your resume and translation sample to youjun.zhai@nycdatascience.com. If you’re qualified we’ll contact you through phone/mail.  
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FROM 202.113.13.*