PayPal Staff Data Engineer in Shanghai, China
Staff Data Engineerin Shanghaiat PayPal
Date Posted: 6/28/2018
Employee Type: Full-Time
Experience: Not Specified
Date Posted: 6/28/2018
Job ID: R0034713
HELP US REIMAGINE MONEY.
At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do.
We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too.
Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 237 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
You will closely work with the various world-class data driven e-payment related businesses by using the cutting-edge technologies and advanced data solution. E.g., Risk control, customer services, privacies and etc. 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, like customer profiling, risk assessment/vetting and so on. 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.
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.
Create more data assets by using Image processing, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning
Design or develop data model and enrich the analytical data sources for further usability and availability by advanced & cutting-edge technology.
Inventing novel models that combine unsupervised and supervised learning, reinforcement learning
Developing and adopting deep learning algorithms to exploit novel distributed processor architectures
Collaborate with other teams or groups to identify challenges and design solutions
BS degree in Computer Science or Engineering
5+ years of experience in software engineering.
3+ years of experience with Data Science, Machine Learning, and AI
3+ years of experience in Data Science related frameworks such as scikit-learn, PySpark, TensorFlow, CNTK, SparklyR, etc.
Masters or PhD Preferred
Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Perl, Python, C++, Java, Python, Ruby, Scala and 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, Hadoop, HBase, ElasticSearch, Pig, Hive, and so on.
Strong analytical and problem solving skills.
Work and collaborate well with executives and customers
Intermediate level knowledge on following business domains is a plus, E.g., Marketing, Risk, Customer Service, Payments, e-commerce
Excellent oral and written communication skills in English.
We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.
Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.