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Sr. MTS, Data Science in Bangalore at PayPal

Date Posted: 1/4/2021

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Bangalore
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    1/4/2021
  • Job ID:
    R0062156

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.

This is a critical Sr MTS data science position in BLR. The candidate is expected to guide a team of AI/ML engineers on the design, solutioning and Long Term Architecture using the right ML models to cater to the needs of CSP organization. The responsibility also including technical evaluation of ML models, feature set derivation and act as a bridge between product and engineering to identify where AI/ML based solutioning can be provided to improve the productivity of CS teammates. The role expects hands-on experience in AI/ML and represent PayPal in renowned conferences and promote patent process amongst the team

* Bachelors/Masters or higher degree in Computer Science or related technical field. 

* 12+ years of enterprise level software development experience with at least 8+ years of experience in Statistics, NLP, Machine learning and Deep learning. 

* Responsible for providing technical leadership, define architecture best practices and work with Engineering and Product counterparts across the organization. 

* Demonstrate technical leadership by influencing the team on technical decisions and problem-solving approaches. 

* Prototype ideas rapidly using cutting edge technologies, drives architecture discussions, and proposes solutions to system and product changes. 

* Lead and mentor data scientists, perform design/code reviews, work with managers and operations to ensure that models meets reliability, accuracy, reusability and performance goals. 

* Act as a bridge between product and engineering team to translate product requirements into the technical solutions. 

* Strong knowledge of data structures, algorithms and excellent problem-solving skills (Python/Java/Node) 

* Strong experience in developing, deploying and monitoring large scale models in production environments. 

* Deep understanding and working knowledge of frameworks like PyTorch/TensorFlow/Keras. 

* Strong communication skills - including ability to articulate issues in a clear and concise manner, and present effectively in both oral and written presentations to peers and leadership. 

* Strong analytical, research, problem solving and evaluative thinking skills. 

* Experience in leveraging ML/NLP to derive “Long Term Architecture” preferably for Customer Support domain. 

* Educate and groom Data Scientists on industry best practices and latest technology trends. 

* Experience in publishing papers and patent filing is preferred.


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.

R0062156

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