[上海] 专注招聘数据挖掘/数据科学家/数据总监/机器学习/算法相关职位

1.根据 @Hackpro 想法，大家也可以把跟我沟通这个邮箱上 [email protected] 。
2.附上几个机器学习，数据挖掘的 JD 供参考，但还是先说一下不是所有。毕竟在这行业做久了，资源也多，也就是互相帮忙推荐介绍的事。

机器学习研发专家
职位描述

职位要求：
1. 硕士博士学位及博士后研究；
2. 有丰富 C++或 Java 开发经验，熟练 Phython, R;
3. 熟悉常用机器学习算法;
4. 对机器学习和深度学习基本原理有扎实理解;
5. 精通 machine learning, data mining, and algorithm 研发;
6. 熟悉 Linux 开发环境，熟悉开源工具，有相关领域经验者优先


高级数据挖掘专家
职位描述:
1. 负责大数据平台的开发人工智能产品技术及云平台产品开发；
2. 通过机器学习，持续产品和技术的优化；
3. 设计及运用先进技术于产品开发；

任职资格：
1. 熟悉大规模数据分析技术，掌握机器学习的相关技术； 在统计或机器学习、文本分类或聚类、海量数据处理、分布式计算等方面有一定的理论功底和实践经验；
2. 精通 C++ 或 Java; 熟练 Python/Shell 等脚本语言;
3. 熟悉 SQL 和 ETL 相关流程，熟悉 Linux 环境及常用命令;
4. 熟悉数据挖掘相关算法，有扎实的基本功和良好的逻辑思维能力;
5. 对数据敏感，有强烈的好奇心，喜欢折腾数据并从数据中发现价值;

数据科学家
Job responsibilities ：

Work closely with the business teams to develop and implement the company ’ s data mining and modeling activities in supporting of product development, customer segmentation, online and digital marketing goals;
Retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data ; Drive the collection of new data and the refinement of existing data sources;

Requirements ：
MS, or PhD in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields;
5 10 years relevant analytics and data mining & modeling work experience; ;
Proven ability to develop and execute sophisticated data mining & modeling solutions
Strong mathematical background with expertise in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics and/or information retrieval;
In depth knowledge of the advanced techniques and tools common to the data mining world such as KNIME, RapidMiner, and Weka; knowledge of R and machine learning techniques a very strong plus;
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner;
Fluency with at least two programming languages (e.g. Python, PHP, Ruby, Java, Scala) ; Working experience with relational database management system (RDBMS), with a strong knowledge of SQL; Ability to work in a Linux environment
Expert knowledge of an analysis tool such as R, Matlab, or SASfor machine learningmodelling;
Experience working with large data sets, experience working with the computing tools (e.g. Map/Reduce, Hadoop, Hive, PIG, etc.) a plus
Strong experience in marketing analytics, including marketing response modeling and customer segmentation; experience with online platform a big plus

BTW ：
我不一定多么多么懂技术，毕竟分工不同，只要把大致的架构明白弄清就可以。
相对靠谱的地方我可以帮你分析公司的产品，团队都来自哪些公司，哪些产品是他做的，有比较好的 track record 。毕竟不怕神一样的对手，就怕猪一样的队友。