工作职责:

1. Understand and adapt methodology of data science, provide guideline for daily workflow;

2. Responsible for requirement of various data analysis/mining services leading to great user experience and high business value;

3. Exploratory analysis of real-world data sources in various format, finalize in reports with intuitional data visualization;

4. Initial/manage/design/implement/deliver machine learning/data mining/advanced analysis solutions for scalable service;

5. Participate in development of the processing, analysis, statistics and mining of massive data based on Pandas/Spark/Hive/TensorFlow/PyTorch;

6. Research on papers and new techniques as well as assess 3rd party data science components.

1、 利用数据科学领域内的方法论，优化日常工作流程；

2、 负责数据分析和挖掘需求沟通，以更好用户体验和更高的商业价值为导向；

3、 探索性分析各种异构数据源，产出分析报告，设计合理的数据可视化；

4、 全权负责高级分析、机器学习、数据挖掘相关的方案设计与实现；

5、 参与模型和数据处理的开发，基于Pandas/Spark/Hive/TensorFlow/PyTorch等；

6、 调研相关论文和技术，评估第三方数据科学组件的可行性。

任职资格:

1. Bachelor or advanced degree in Statistics, Computer Science, or related field;

2. Over 3 years of research and development experience in data science;

3. Strong experience with various machine learning/data mining algorithms and deep learning framework, sufficient knowledge of varying paradigms in data analysis and frequently-used algorithms: logistic regression/linear regression/Bayesian methods/decision tree/GBDT/random forest/Collaborative Filtering/PCA/LDA/SVM/K-Means or other clustering methods, understanding of their conceptual and practical strengths and weakness;

4. Having excellent academic track record and expertise in both theory and practice of recommendation/natural language processing/pattern recognition/deep learning/Machine Vision;

5. Understand the relevant knowledge of data warehouse, having good SQL skills and ability to optimize;

6. Familiar with Linux/Unix operating system, strong programming skillset: Python/Scala/Java;

7. Familiar with Hadoop ecosystem, including but not limited to Hadoop, HBase, Hive, Kafka, Flink, Kafka, etc.;

8. Good communication and expression skills, strong data sensitivity, able to withstand certain work pressure.

1. 统计，计算机科学与技术相关专业，本科及以上学历；

2. 三年以上数据科学相关的研究和开发经验；

3. 熟悉各种机器学习、数据挖掘的方法和深度学习框架，同时对各种统计分析方法有丰富的经验，包括但不限于logistic regression/linear regression/Bayesian methods/decision tree/GBDT/random forest/Collaborative Filtering/PCA/LDA/SVM/K-Means等算法，知道不同算法或框架之间优劣；

4. 对于推荐、自然语言处理、模式识别、深度学习，机器视觉等领域，有优秀的学术背景和专业知识；

5. 熟悉数据仓库相关知识，良好的SQL技能，并有能力对SQL进行调优；

6. 熟悉linux/unix环境，较强的编程能力，熟悉或掌握：Python/Scala/Java；

7. 熟悉大数据生态，包括但不限于Hadoop, HBase, Hive, Kafka, Flink, Kafka；

8. 良好的沟通能力，高度的数据敏感度，能够承担一定的工作压力。

员工福利：

1. After on boarding, providing supplementary commercial insurance besides the state-stipulated insurance and housing fund;

2. Fast and transparent promotion channel and broad development opportunities;

3. 5-15 days paid annual leave and 5 days paid sick leave. Free annual physical check-up;

4. Attractive employee activities.

入职即为员工缴纳六险一金；

快速透明的晋升渠道，广阔的发展空间；

每年5-15天带薪年休假，5天带薪病假，年度免费员工体检；

有吸引力的员工活动。

上班地址：武汉东湖高新区光谷大道77号光谷金融港A8栋捷信大厦