如果你是对电信、金融、零售等行业的商业智能(BI)感兴趣，并有志于从事数据分析、数据挖掘、业务咨询或者BI系统开发等职业的本科及以上学历的在校生，我们为你提供成长的空间和实现梦想的舞台。

1、熟悉Teradata/Oracle/Mysql/DB2等数据库，熟练使用SQL，掌握PERL/C等一种或几种开发语言；

2、计算机信息科学与技术、信息管理与信息系统、应用数学、数理统计、金融学、工商管理等相关专业；

3、善于撰写PPT和Word方案，文字功底深厚，善沟通，思维新颖；

4、具备数据建模（机器学习，数据挖掘，信息检索背景）和分析理论知识，熟悉SAS、SPSS、MATLAB、R等一种或多种分析统计工具；

欢迎满足以上任何一项者加入
联系方式 jessie.wang@teradata.com

----------------------------------------------------------------------------------------------------

Sr. Data Scientist JD is like this:

As the global leader in data warehousing and analytic technologies, Teradata solutions make smart companies smarter. Teradata gives companies the people, technology, innovation and a world-class network of customers and partners enabling them to gain competitive advantage to master their markets. With Teradata, the smartest wins. Learn more at teradata.com

Position Title: Data Scientist 数据科学家

Job Category: Permanent

Location: Beijing or virtual

Job Requisition:

_______________________________________________________________________________

Job Summary

As a Teradata Data Scientist, You will work in a fast-paced startup environment where continuous change, innovation and experimentation are a given. You will be responsible for extracting accurate, insightful and actionable information from huge volumes of rich data using statistics, data mining, machine learning and other data techniques. The Data Scientist's primary role will be to design and manage the execution of data analysis and modeling projects aimed at solving high-impact business problems for Teradata’s clients across industries. The ideal candidate should have strong experience in accessing, managing, and analyzing data in both structured and unstructured data sets, understand mathematics/statistical techniques used for advanced analytics, and demonstrate the business skills necessary to guide BI application development and business improvement. If you are interested in turning data into actionable insights and have what it takes to work with this highly talented team on challenging analysis projects then please contact us.

Key Responsibilities

Ø Develop specific analytical models for real business problem in different industries.

· Identify the data needs for each business problem and partner with internal resources to acquire data and prepare for analysis

· Evaluate different modeling approaches with internal partners (e.g., Multivariate Regression, Logistic Regression, Machine Learning, Decision Trees, Lifetime Analysis, Clustering Algorithms, Probabilistic Models)

· Develop and implement analytical models to fit business problem, which may include applying algorithms from a standard tool or custom algorithm development.

· Interpret results and communicate findings to senior leaders in a manner that drives understanding and influences decision making

Ø Guide BI Application Development & Implementation

· Guide the development of analytical, data-driven Business Intelligence (BI) applications that can drive better/faster decision making and/or more personalized interactions for our clients

· Manage the lifecycle of decision science support as solutions advance from theory, proof-of-concept, beta tests, and finally into fully implemented tool sets

Ø Mentoring clients and team members in any data techniques required for analytical works.

Basic Qualifications

Ø MS or PhD. in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or equivalent/related degree

Ø Deep knowledge and experience in the following areas: Statistics, Data Mining, Machine Learning, Nature Language Process, Business Intelligence, Data warehousing, etc.

Ø Deep understanding of analytical algorithms, such as Regression, SVM, Clustering, Decision Trees, Neural Networks, NLP, etc. And very good understanding on how to apply these algorithms to solve real problems

Ø Strong Experience working with Big Data and distributed computing tools (MapReduce, Hadoop, Hive, etc) and experience with programming languages like Python, C++ or Java

Ø Experience/knowledge with various data analysis tools, data mining tools, and statistical packages, such as R, SAS or SPSS

Ø Passion for empirical research, experimentation, and answering questions with data

Ø Ability to work independently and in a team to find innovative solutions to challenging business and technical problems.

Ø Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Ø Good written and oral communication in English and cross-group collaboration skills

Preferred Qualifications

Ø 8+ years of relevant experience with a proven track record of leveraging large amounts of data to drive significant business impact

Ø Experience in large data sets, semi-structured or unstructured data is big plus.

Ø Deep understanding and hands-on experience with pattern recognition, natural language processing, and mining of structured, semi-structured, and unstructured data.

Ø Experience with supervised and unsupervised modeling techniques.

Ø Publication(s) in renowned international journals and conferences is a plus.

Ø Extensive Knowledge of scripting languages like Ruby or Python, familiarity with web frameworks a plus

Ø Experience with machine learning tools and libraries such as Apache Mahout and Weka is a plus.

Ø Hands-on with R or Hadoop is a strong plus.

联系方式 jessie.wang@teradata.com