德宏 [切换城市] 德宏招聘

IT Big Data Data Scientist (职位编号:J22238)

捷信消费金融有限公司

  • 公司规模:10000人以上
  • 公司性质:外资(欧美)
  • 公司行业:金融/投资/证券

职位信息

  • 发布日期:2019-08-25
  • 工作地点:天津-和平区
  • 招聘人数:若干人
  • 工作经验:无工作经验
  • 学历要求:本科
  • 职位月薪:2-4万/月
  • 职位类别:其他

职位描述

Duties and Responsibilities:

1. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions;

2. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies;

3. Assess the effectiveness and accuracy of new data sources and data gathering techniques;

4. Develop custom data models and algorithms to apply to data sets;

5. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes;

6. Develop company A/B testing framework and test model quality;

7. Coordinate with different functional teams to implement models and monitor outcomes;

8. Develop processes and tools to monitor and analyze model performance and data accuracy.


Requirements:

1. Strong problem solving skills with an emphasis on product development;

2. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets;

3. Experience working with and creating data architectures;

4. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks;

5. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications;

6. Excellent written and verbal communication skills for coordinating across teams;

7. A drive to learn and master new technologies and techniques;

8. We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

1) Coding knowledge and experience with several languages: C, C++, Java;

2) JavaScript, etc;

3) Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc;

4) Experience querying databases and using statistical computer languages: R, Python, SLQ, etc;

5) Experience using web services: Redshift, S3, Spark, DigitalOcean, etc;

6) Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc;

7) Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc;

8) Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc;

9) Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.


Staff Welfare:

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.


职能类别:其他

公司介绍

    作为一家持牌消费金融公司,捷信消费金融有限公司(简称:捷信),其股东为国际领先的消费金融服务提供商捷信集团,于2010年底正式在中国开业,为中国的客户提供消费金融服务。消费是促进中国经济结构转型的重要推动力。捷信积极响应国家扩大内需、大力发展消费金融的要求,通过为客户提供安全、负责任的消费金融服务,持续为中国的经济发展和人民生活水平的提高做出贡献。
    基于卓越的数据捕捉和分析能力,并采用大数据和生物识别技术,捷信将先进的风险管理能力渗透到业务流程的每一个环节。目前,捷信已将人脸识别和OCR光学字符识别技术应用在贷款审批环节,在确保客户信息准确性和可靠性的同时,对风控流程进行了大幅高效简化。
    不仅如此,在客户服务领域,捷信在逐步增加自动化客服工具的应用,并将基于人工智能的语音机器人、文本聊天机器人和质检机器人应用在客服环节,提升服务效率。相比传统的人工智能,捷信配备的机器人在语义理解和机器学习方面更加智能、高效,可以随时随地为客户提供服务,并快速适应新的业务情境。其中,文本聊天机器人已接入到捷信官方微信平台,平均每天可处理约50,000-70,000个客户问题,客户只需等候最多1秒就会接通,而语音机器人的每日呼出量也达到了约5,000,000次。智能机器人与专业客服人员一起,可为客户提供7天无休的专业服务,这些技术创新保证了服务流程更加顺畅,显著提升了服务效率。同时,捷信在不断加快数字化的步伐。至今已有超过4000万用户注册了捷信金融APP,从而进入到捷信的服务生态体系中。

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联系方式

  • Email:Mandy.Chen@homecreditcfc.cn
  • 公司地址:地址:span北京市朝阳区亮马桥路50号燕莎中心写字楼C215