推薦Paypal的兩個數(shù)據(jù)職位(實習/社招)
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公司簡介
貝寶PayPal的基本信念是，為獲得金融服務(wù)創(chuàng)造機會，并致力于使金融服務(wù)民主化，讓個人和企業(yè)參與并成長于全球經(jīng)濟中。開放式數(shù)字支付平臺，使3.75億活躍帳戶用戶以新穎而強大的方式連接和交易。招聘團隊CREAM是一支由數(shù)據(jù)科學家組成的團隊，致力于解決信貸風險和營銷中的各種業(yè)務(wù)問題，將AI和機器學習運用到銷售領(lǐng)域。
職位一:?數(shù)據(jù)科學實習生
地點:?圣何塞 加州
崗位職責
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
應(yīng)聘要求
Pursuing degrees in engineering, computer science, statistics, or other related fields. Master and PhD preferred
職位二:?數(shù)據(jù)開發(fā)工程師
地點:?上海
崗位職責
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
應(yīng)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
團隊活動花絮
投遞渠道：點擊下方公眾號名片，后臺回復(fù)【paypal】獲取。
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你好，我是峰哥，一個騷氣的肌肉男。獨自窮游過15個國家，60座城市，也是國家級健身教練。
二本車輛工程轉(zhuǎn)型大數(shù)據(jù)開發(fā)，拿過66個大數(shù)據(jù)offer，現(xiàn)任某知名外企高級數(shù)據(jù)工程師。
畢業(yè)一年，靠自己在上海買房，點此看我2020年總結(jié)。為人親和，歡迎添加我的微信?Fawn0504?進行交流或圍觀朋友圈。