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SPSS

(全职,发布于2007-10-08) 相关搜索
  • 工作地点:其它
  • 职位:SPSS公司2008校园招聘
  • 信息来源:中华英才网
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宣讲会时间 :
第一场
  时间: 10月24日 19:00-21:00
  地点: 西安交通大学就业中心信息发布大厅

第二场
  时间: 10月25日 19:00-21:00
  地点: 西北工业大学国际会议中心第五会议室

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美国 SPSS  2008 校园招募计划

 
   
  公司简介

  SPSS Inc. is a leading worldwide provider of predictive analytics software and solutions. Founded in 1968, today SPSS has more than 250,000 customers worldwide, served by more than 1,800 employees in 60 countries.

Corporate History
1968-1975: SPSS becomes a product.
1975-1984: SPSS becomes a corporation.
1992-1996: The age of Windows.
1997-2002: The transition to the enterprise.
2003: Predictive analytics is successfully established as a market segment.
2004: Predictive analytic applications come of age.
Today: SPSS is recognized as a leader in the predictive analytics market space.

  SPSS公司是全球领先的预测分析软件和解决方案供应商,成立于1968年,总部位于美国芝加哥,是世界上成立时间最久的公共软件公司(NASDAQ: SPSS)。全球有超过250,000的商业、学术和公共事业行业的客户依靠SPSS的技术,帮助他们增加收入、降低成本、改进方法、检查和预防欺诈。今天,SPSS有超过1,800多名员工在世界60多个国家为全球客户提供优质服务。

  盛普软件(西安)有限责任公司是由美国SPSS公司全额投资的外商独资企业,成立于2004年, 是SPSS公司在全球设立的研发中心之一同时也是亚太地区的唯一研发中心,现有员工130人,绝大多数具有硕士以上学历。 作为一个高科技企业,SPSS坚信人才是企业成功发展的基石。盛普软件秉承SPSS全球化和重视人才的理念,将为员工提供有竞争力的薪酬福利待遇、舒适的工作环境和展现自我的平台。

招聘流程
 招聘职位


      
 Associate Software Engineer
 Reports to: Development Manager

Responsibilities:
• Performs software development programming and maintenance of an increasingly complex nature
• Has good understanding of one or two products
• Assists senior team members with moderate duties, to gain exposure to more difficult software development tasks such as definition and design
• Works somewhat independently, though operates under moderately close supervision
• Primarily implements someone else's design, although simpler projects may entail some design work
• Produces high-quality code according to projected schedule
• Thoroughly unit tests all code he/she develops
• Provides quality and timely fixes to the problems assigned to resolve
• Utilizes internal training, mentoring, and self-study opportunities

Education and Work Experience:

• BS in Computer Science or equivalent work experience, Master is a plus
• New college grad with intern experience up to 2 years post-college software development work

Specialized Knowledge and Skills:

• Demonstrated ability to work with the software development process, object-oriented design, C++ and/or Java and/or .Net.
• Demonstrated team player with the ability to learn complex technical material
• Demonstrated outstanding verbal and written communication skills
 
 
 
 Associate QA Engineer
 Reports to: QA Manager

Responsibilities:
• Associate level Quality Assurance Engineer whose role will be to perform in-depth testing of a variety of SPSS products with the specific focus on automated testing
• The Associate Quality Assurance Engineer is responsible for the development and execution of test plans and test scripts with specific focus on automated functional testing of SPSS products. This involves both developing approaches and using tools for advanced automated testing, as well as writing programs and working with development teams to increase the testability of products.
• Responsibilities include properly documenting and recording test results, and communicating defects and problems to management throughout the QA test cycle.

Specialized Knowledge and Skills:
• BS degree in Computer Science or equivalent work experience, Master is a Plus
• Experience in software development using Java
• Experience with automated testing software and/or quality assurance training
• Experience with Windows, Unix or iSeries platforms
• Database/SQL knowledge (DB2, SQL Server or Oracle)
• Experience with multi-tier client/server applications and web applications
• Excellent written and oral communication skills
• Team oriented and a positive “get it done” attitude
• Able to apply a rigorously organized engineering approach to solving problems
• Eagerness to take on responsibility and natural curiosity to creatively search for software defects a must
 
 
 
 Statistician
 Research on latest methodologies in data mining and mathematical statistics

Requirements:
• Ph.D. degree in statistics, or a closely related field, or Master degree with three years of relevant post-graduate working experience
• Substantial experience in information retrieval, data analysis, and data mining
• Broad and solid knowledge of statistics
• Possess outstanding competence, and demonstrate ability to initiate and perform research and development activities under minimal supervision
• Proven oral and written communication skills in English and Chinese languages
 
 
 


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