Data Scientist

Introduction
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Your Role and Responsibilities
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主要工作内容:

  1. 参与数据科学项目的前期售前和项目执行,直接面对客户,借助自己的数据科学的技能,引导和影响客户,通过对IBM技术的使用帮助客户实现业务价值;
  2. 在项目实施的过程中,发现和确定数据科学的商机,协助团队将商机转化为真正的项目和客户价值;
  3. 参与数据科学项目的实施,从实施的项目中沉淀和积累数据科学资产;基于海量数据和真实客户需求,与咨询师团队合作对客户业务问题进行准确定义、数据分析、方案制定及实施;
  4. 参与团队对实施项目相关各环节进行分析、预测,并进行相关机器学习、深度学习、强化学习或运筹优化模型的研发、设计和部署等工作,配合工程团队产出企业级的算法产品。


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Required Technical and Professional Expertise
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职位要求:
  1. 计算机、机器学习、运筹学、应用数学、统计等相关专业硕士或者博士毕业;
  2. 1-3年数据建模的经验

3. 熟练掌握java/python/C/C++等编程语言中至少一种,熟悉各种数据库及sql使用;
4. 掌握常见的机器算法模型及原理,如LR、D/R Tree model、Boosting、Bagging、SVM、Clustering、PCA等,熟悉工程应用中GBDT、XGBoost关键参数;
5. 具备较强的数据敏感性、业务理解能力及抽象能力,能快速理解问题并设计解决方案;
6. 自我驱动,具有较强学习能力、责任感和团队协作能力;
7. 有大公司实习经验者优先。

Preferred Technical and Professional Expertise
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About Business Unit
Digitization is accelerating the ongoing evolution of business, and clouds - public, private, and hybrid - enable companies to extend their existing infrastructure and integrate across systems. IBM Cloud provides the security, control, and visibility that our clients have come to expect. We are working to provide the right tools and environment to combine all of our client's data, no matter where it resides, to respond to changing market dynamics.

Your Life @ IBM
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About IBM
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Location Statement
For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


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