【实习】人事部实习生

OSSHR

职责描述：

1、协助招聘活动，包括招聘渠道维护，面试安排，文档整理
2、协助收集，筛选，分类简历
3、协助人力资源其他事宜


职位要求：
1、每周工作5天，持续2-3个月
2、在校大三或大四学生
3、英语良好CET6
4、熟练掌握Office软件
5、认真负责，拥有良好的沟通能力和团队协作能力

薪酬：150/天

Job Responsibilities:

1. Assist in recruiting activities, including channel maintenance, interview arrangement, interview related file maintenance;
2. Assist in CV collection and CV consolidation systematically;
3. Support on other HR tasks as required;

Job Requirements:

1. Internship for 2-3 month, 5 days a week;
2. Graduating Student in 2013 with the interest in HR fields;
3. Good command of English, CET6 is required;
4. Good PC skills;
5. Detail-oriented, responsible, clear thinking and hardworking;

Payment: 150/day

有意者请将简历发至邮箱：chunni.tang@operasolutions.com
邮件标题：应聘职位+姓名+学校+每周可工作天数
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奥浦诺管理咨询（上海）有限公司
Opera Solutions (Shanghai) Ltd.

Who We Are

We help organizations profit from Big Data flow.

Opera Solutions was founded in 2004 with 10 people and a notion that the world's flow of information — just then starting to intensify — was going to be the oil of the 21st century.

Today, Big Data has exploded. And Opera numbers approximately 700, has offices in New York, Jersey City, Boston, San Diego, London, Paris, New Delhi, and Shanghai, and has created one of the world's most advanced, end-to-end platforms for using analytics to turn Big Data flows into profit and advantage.

Along the way, our scientists have come in "first equals" in the global Netflix Prize that measured machine learning capabilities. We've established deep relationships with top-tier organizations around the world. And we've attracted a team of extraordinarily people — scientists, software developers, data management specialists, and business domain experts — from six continents.

We've built one of the world's premier centers of predictive analytics and machine learning science, with over 220 scientists and extensive libraries of proprietary signals and models. We have created Vektor™ — a secure and flexible Big Data analytics platform that extracts powerful signals and insights from massive amounts of data flow, and then streams analytically enriched guidance and recommendations directly to the front lines of business operations. And all without major IT or infrastructure impact for our customers.

Our solutions drive real and measureable improvement, because they focus on the most important business leverage points where machine learning science can make a big difference. We bring these solutions to core industry sectors — financial services, healthcare, and government — plus other selected industries where Big Data analytics are particularly powerful.

We engage with our customers in two ways. With Enterprise Solutions, we work with the Global 250 and large governmental entities to identify where they can extract maximum value from their Big Data reserves. Then we build transformative solutions that do just that.

With Vertical Solutions, we work with the Fortune 1000 and midmarket companies to create and provide hosted delivery of analytics products that solve specific problems faced by industries and functions — in fraud, marketing, portfolio valuation and risk, spend optimization, and many others.

It's a good start. But, much like the flow of Big Data itself, we've only just begun to grow.