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发帖数: 225 | 1 【 以下文字转载自 JobHunting 讨论区 】
发信人: beijingniuer (北京妞儿), 信区: JobHunting
标 题: 北京Position: Technical Lead, Parallel Data Mining
发信站: BBS 未名空间站 (Wed Nov 10 20:34:10 2010, 美东)
Please C*********************[email protected] Miss Wu
待遇不高，大概400k/年，但是可以带团队。
公司简介：
Teradata Corporation(美国纽约证券交易所交易代码NYSE:TDC)是全球最大的专注于数
据库软件、数据仓库、数据仓库专用平台、咨询服务及企业分析方案的提供商，致力于
通过先进的数据库信息系统和服务提升企业智能，业务遍布全球六十多个国家，公司网
址为： www.teradata.com
其北京办事处地址为北京海淀区五道口清华科技园内。
Teradata is the world's largest company solely focused on creating
enterprise agility through database software, enterprise data warehousing,
data warehouse appliances, and analytics. It’s our passion and it’s all we
do. We deliver award-winning, integrated, purpose built platforms based on
the most powerful, scalable, and reliable technology platform in the
industry. Our assets include:
· Approximately 6,000 associates in more than 60 countries
· Strong diversified client base of over 900 customers worldwide
and companies of all sizes
· 2,000+ implementations worldwide
Every day we push analytical intelligence deeper into operational execution,
enhancing efficiency and transforming corporate culture. Teradata…Smarter
.Faster.Wins.™
招聘职位的需求如下：
Position: Technical Lead, Parallel Data Mining
Primary Job Responsibilities:
Teradata is a leading very large scale deep analytics software and system
provider. Our team is looking for a strong technical lead who is also an
outstanding engineer to build exciting next generation technologies in the
analytics platform and data mining areas. This is a great opportunity to
apply your software development and machine learning skills to real world
problems that require defining and implementing state of the art techniques
for mining and understanding massive amount of unstructured, semi-structured
and structured data. This position requires a self-starter attitude and an
ability to handle ambiguity and working closely with a number of technical
team members in Beijing as well as in US.
If this sounds like an exciting challenge to you, you may be the perfect
person we are looking for. Besides possessing rock-solid software
engineering skills and a passion for excellence, you need to be an
innovative thinker, effective communicator and a team player with the
ability to work with dynamic teams in an agile and fast paced environment.
Responsibilities:
·Technical lead on data mining development, responsible for its delivery
and success.
·Lead and develop extensible, scalable, reliable analytics platform and
product quality software. Excellent problem solving skills; Interact with
other teams to define interfaces and understand dependencies; Write detailed
technical documents
·Help to shape the data mining product requirements, and the technology &
implementation approaches in building world class analytics software
products.
Required Background and Skills
Essential
·Hands-on experience with Hadoop and other Map/Reduce technologies.
·Hands-on development experience in at least one of the areas: data mining,
NLP and machine learning using statistical techniques.
·Master (Ph. D. preferred) in Computer Science with an emphasis in Data
Mining, Machine Learning, Information Retrieval, NLP, Statistics,
Mathematics, Artificial Intelligence, or a related field.
·Very strong development and design skills. Good understanding of
algorithms, data structures, performance optimization techniques. Practical
experience in lexical parsing a plus.
·Strong Software programming skills (Java, C/C++, Python, SQL, etc).
·Experience in dealing with very large amounts of structured and
unstructured data.
Very desirable
·Outstanding communication skills, written and verbal, at multiple levels
of the organization.
·Demonstrated ability to help build the team and direct teams to complete
critical milestones under pressure with tight deadlines
·Knowledge of parallel matrix and graph algorithms is a big plus.
Additional success factors
·Experience with agile software development methodology (Scrum)
·Demonstrated track records of delivering innovative, elegant solutions
working under broad directives with minimal hand-holding or oversight
·Demonstrated ability to work collaboratively in a small team context in
order to build impressive technologies | l*******s
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