解析几个IT公司，统计背景的人可以做的job description
modifiedname
管理员
不小心翻到了，感叹一下，要求真高啊。。。
非IT公司的business analytics要求跟这个估计是显著不同啊，这个职位集成了biz analytics & IT data scientist的精髓，看的我内牛满面
彩色highlight了一下不同的关键字，有抓狂感
linkedin :Business Analytics -Data Mining, Associate/Staff
Job descriptionLinkedIn’s Business Analytics team uses data analysis and data mining to drive the company’s social network monetization efforts. This award-winning innovative analytics team is rapidly reinventing the way data analysis can be leveraged in our data-centric world. Join the Business Analytics team if you are up to the challenge of delivering highly relevant business insights from big data. This position will be focused on data mining and machine learning.
A successful candidate will be super creative and technical, with a collaborative and resourceful style that’s contagious. Our team is small, highly entrepreneurial, and business-focused.
Responsibilities:
Analyze, integrate and mine “big data” to drive insights, including social network analysis and web/text analytics.
Build data-driven predictive models for customer segmentation and campaign optimization.
Build world class data mining framework to enable team to mine intensive social network data quickly and easily.
Develop and test analytical solutions to be leveraged by both internal and external clients.
Requirements:
Overall, a highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly.
3+ years’ experience in data mining and machine learning with big data. Experience with social networking analytics, text mining, information retrieving, and web analytics experience preferred.
Experience with large-scale data analysis frameworks: Pig, Hive, Map-Reduce (Hadoop ecosystem), Spark, NoSQL
Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people.
Passionate about LinkedIn and data mining and machine learning.
MS/PhD in Computer Science, Engineering, Operational Research, Statistics, Marketing, Business, Economics, or another quantitative field of study.
Technical Requirements:
3+ years’ experience with Java/C++/ Python/SQL analyzing very large datasets.
Familiarity with R, Weka, SAS and other statistical data mining package for statistical machine learning, clustering, classification, and text mining.
Proficiency in a Unix/Linux environment for automating processes with shell scripting.
Experience with Hadoop (Hive or Pig or MapReduce) preferred.
Familiarity with web application development using HTML, PHP, JSP, and/or Ruby-on-Rails preferred.
非IT公司的business analytics要求跟这个估计是显著不同啊，这个职位集成了biz analytics & IT data scientist的精髓，看的我内牛满面
彩色highlight了一下不同的关键字，有抓狂感
linkedin :Business Analytics -Data Mining, Associate/Staff
Job descriptionLinkedIn’s Business Analytics team uses data analysis and data mining to drive the company’s social network monetization efforts. This award-winning innovative analytics team is rapidly reinventing the way data analysis can be leveraged in our data-centric world. Join the Business Analytics team if you are up to the challenge of delivering highly relevant business insights from big data. This position will be focused on data mining and machine learning.
A successful candidate will be super creative and technical, with a collaborative and resourceful style that’s contagious. Our team is small, highly entrepreneurial, and business-focused.
Responsibilities:
Analyze, integrate and mine “big data” to drive insights, including social network analysis and web/text analytics.
Build data-driven predictive models for customer segmentation and campaign optimization.
Build world class data mining framework to enable team to mine intensive social network data quickly and easily.
Develop and test analytical solutions to be leveraged by both internal and external clients.
Requirements:
Overall, a highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly.
3+ years’ experience in data mining and machine learning with big data. Experience with social networking analytics, text mining, information retrieving, and web analytics experience preferred.
Experience with large-scale data analysis frameworks: Pig, Hive, Map-Reduce (Hadoop ecosystem), Spark, NoSQL
Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people.
Passionate about LinkedIn and data mining and machine learning.
MS/PhD in Computer Science, Engineering, Operational Research, Statistics, Marketing, Business, Economics, or another quantitative field of study.
Technical Requirements:
3+ years’ experience with Java/C++/ Python/SQL analyzing very large datasets.
Familiarity with R, Weka, SAS and other statistical data mining package for statistical machine learning, clustering, classification, and text mining.
Proficiency in a Unix/Linux environment for automating processes with shell scripting.
Experience with Hadoop (Hive or Pig or MapReduce) preferred.
Familiarity with web application development using HTML, PHP, JSP, and/or Ruby-on-Rails preferred.
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