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Software Engineer Data Science in Bangalore at PayPal

Date Posted: 9/11/2020

Job Snapshot

Job Description

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 305 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.

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 203 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 be responsible for working with a team of engineers in design, development, test, and deployment of a range of products on enterprise platforms. A successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, deep understanding of data science and software engineering, excellent project execution skills, great communication skills, and a motivation to achieve results in a fast paced environment.

Risk Engineering team is responsible for Risk decision, fraud detection, risk management decision and compute services across PayPal - globally. We design, develop, enhance and support services that get called across every interaction between PayPal and it's users and partners. Our solutions need to scale across millions of such interactions, working with petabyte plus data, integrating with various other APIs in real time and yet providing high availability to the business. To achieve this we are always looking at advances in technology and science and tying those back to business needs.

Skills Required :

- 5-8 years of Experience as a Data Scientist with Software Engineering background

- Experience with Supervised and Unsupervised Learning -  Classification, Regression, Clustering (Naive Bayes, k-NN, GBM, Neural Networks, SVM, Decision Forest etc.)

- Solid knowledge in deep learning algorithms and AI system design and architecture

- Experience building and deploying one or more of these technologies in production: Deep learning (e.g. CNN, RNN, LSTM, GAN, etc.), Reinforcement Learning, Accelerated compute (e.g. GPU.) 

- Experience profiling and optimizing software for CPUs & GPU applications. 

- Experience with one or more AI/ML frameworks & libraries - TensorFlow, PyTorch, Azure ML studio, Jupyter Hub, Zeppelin, Spark ML lib, Sci-Kit Learn, Pandas etc.

- knowledge of feature engineering concepts & techniques..
- Ability to write excellent code in Java and Python

- Deploy models in production environment as per requirements
- Data Visualizations to convey insightful stories

- Knowledge of Algorithms and Data structure. 

- Demonstrate a high level of curiosity, passion for technology, pride of ownership and strive for excellence

Responsibilities :

- Use existing frameworks to define the architecture & solution for AI/ML applications that scale to enterprise grade.
- Analyze existing AI/ML systems and explore existing data  to improve efficiency and performance in live production environment

- Fine tune open source inference engines and optimize engines based on software stack
- Pre-processing, feature engineering, models training and tuning hyper-parameters and validation strategies.

- Bring innovation to the risk ecosystem


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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

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