Data Scientist
PayPal
Chennai, Tamil Nadu, India
6d ago
source : appcast

At PayPal, we’re literally reinventing how the world pays and gets paid. We understand that it’s about people. We connect individuals to let them shop, get paid, donate and send money using today’s technology with the confidence that comes from the security and control PayPal enables.

Are you ready to help us change the world?

The world’s leading payments company, PayPal, brings together a family of brands that are revolutionizing the way people move money.

At PayPal you will be immersed in an amazing community with a vibrant culture that thrives on innovation, collaboration, inclusion and wellness.

As a Data Scientists in PayPal’s Global Data Science organization, you will have an impact on PayPal’s marketing and product all around the world.

Our data scientists work to better understand our end-users, identify opportunities and improve our products and marketing outreach by creating personal and smart experiences.

Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills for research and delivery of end-to-end Data Science solutions.

If you are an experienced Data Scientist with sharp analytical skills and a passion for deriving new insights from unimaginable amounts of data, solving unique challenges, leveraging cutting edge machine learning algorithms, and working in a highly collaborative, values-driven environment then PayPal’s Global Data Sciences (GDS) is looking for you.

In your role you will Collaborate with other data scientists, product managers and engineers to formulate innovative ideas, and test / implement through advanced data science technique

You will interact with cross functional teams to :

  • Design, develop and implement data-driven strategies and machine learning models for card auth optimization, Transaction expense optimization and improve PP payments platform availability and reduce latency
  • Create innovative features and data for payment strategies and models, align with stakeholders and implement these capabilities
  • Develop models and solutions using latest technologies like Deep learning, LSTM, reinforcement learning to bring best value to Consumers and Merchants.
  • Analyze and monitor data science solutions, and communicate analysis results and complex concepts to conclude actionable insights
  • Job Requirements :

  • Professional industry experience in a quantitative analysis role (2+ years preferred), with advanced degree (Masters or PhD.
  • in Math, Statistics, Operations Research, or Computer Science

  • Proficiency in languages used for querying (e.g. SQL / Hive / Pig / Spark), preprocessing (e.g. Unix / Python), and statistical analysis (e.g. Python / R)
  • Experience with machine learning algorithms and statistical methods
  • Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on how to execute strategies and improve models.
  • Team worker, responsible, delivery-oriented
  • Knowledge about card issuers and card payment processing is a strong plus
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