推荐Paypal的两个数据职位(实习/社招)
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公司简介
贝宝PayPal的基本信念是，为获得金融服务创造机会，并致力于使金融服务民主化，让个人和企业参与并成长于全球经济中。开放式数字支付平台，使3.75亿活跃帐户用户以新颖而强大的方式连接和交易。招聘团队CREAM是一支由数据科学家组成的团队，致力于解决信贷风险和营销中的各种业务问题，将AI和机器学习运用到销售领域。
职位一: 数据科学实习生
地点: 圣何塞 加州
岗位职责
As a data science intern in CREAM, you will have a chance to work and research on cutting edge algorithms such as Graph Neural Networks, Adversarial learning etc. and apply them to Credit & Sales use cases which directly translate to business value and create impact.
Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem.
Collaborate with other research scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques
Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, R, SQL
Analyze data covering a wide range of information from user profile to transaction history. Identify new risk patterns through data mining
Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization
应聘要求
Pursuing degrees in engineering, computer science, statistics, or other related fields. Master and PhD preferred
职位二: 数据开发工程师
地点: 上海
岗位职责
You will closely work with the various world-class data driven e-payment related businesses, PayPal's GFC (Global Financial Compliance) Data Solution team. You will face the complex big data challenges or problems for fin-tech industry domain, which turns the big data to more valuable business insights. You do not only understand the data deeply but also develop the enterprise-level data algorithm and solutions for huge amount of data, various types of data for more business insights with high ATB, SLA, and short TTM.
Works with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.
Supports PayPal business units by providing data in a ready-to-use form to data analysts and data scientists for Business insights, predictive analytics, machine learning, etc.
Owns and is accountable for the design and development of a Data solution feature or a Data Pipeline with high reliability, stability, scalability and performance.
Design or develop data model and enrich the analytical data sources for further usability and availability by advanced & cutting-edge technology.
Collaborate with other teams or groups to identify challenges and design solutions
应聘要求
BS degree in Computer Science or Engineering
3+ years of experience in software engineering.
2+ years working in data engineer or a similar role in large enterprise data warehouse team preferred.
Solid programming/scripting skills, like Java, Scala, Unix/Linux Shell Scripting, etc.
Good understanding of database principles and SQL beyond just data access
Good understanding of Data Modelling Concepts, experience with modelling data and metadata to support relational & non-relational database implementations; experience with building Logical and Physical data models.
Familiar with various big data technologies, open source data processing frameworks. E.g., Spark, Flink, Hadoop, HBase, ElasticSearch, Hive, etc.
Good understanding of data processing, data structure optimization and design for high scalability, availability, reliability and performance.
Good understanding of REST-oriented APIs, understanding of distributed systems, data streaming, Complex Event Processing, NoSQL solutions for creating and managing data integration pipelines for Batch and Real Time Data needs.
Strong analytical and problem solving skills.
Work and collaborate well with executives and customers
Excellent oral and written communication skills in English
团队活动花絮
投递渠道：点击下方公众号名片，后台回复【paypal】获取。
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