德宏招聘

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:

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

b) JavaScript, etc.

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

d) Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

e) Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

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

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

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

i) 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.

    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。

主要奖项Company Awards
2020年奖项
2020年58同城•招聘中国卓越雇主五十强
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2019年奖项
2019智联招聘中国最具发展潜力雇主
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