PayPay Corporation
PayPay, a fintech company, that achieved more than 50M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.
1001 - 5000 employees
Data Scientist - Credit Modeling
April 7
PayPay Corporation
PayPay, a fintech company, that achieved more than 50M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.
1001 - 5000 employees
📋 Description
• We are looking for a leader with a passion to develop novel machine learning software systems for credit modeling and default risk prediction, deploy the systems to production, and test them to ensure all users and merchants needs are covered. • You will perform ETL to build model features using petabyte-scale datasets and develop high throughput and low latency systems to serve models in production touching the lives of more than 65 million customers every day. You will collaborate with highly innovative engineering teams to put machine learning functionalities into production systems that we build in-house. • We are looking for someone who oozes passion, ownership, and a love of building great things. The Product and Engineering teams will rely heavily on your build. You’ll have a ton of trust and responsibility. So, if challenges excite you, and you’re ready for a big one, let us know.
🎯 Requirements
• 3+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production. • Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution • Ability to explain and present analyses and machine learning concepts to a broad technical audience • Have an extreme bias towards action. Basically, have the “Get Things Done” type of attitude. • Be able to maintain high-performance within a high-energy and fast-paced work environment. • You have a master degree or equivalent in Computer Science, Engineering, Mathematics or related field • Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus • Working experience of AWS SageMaker, Google Vertex is a plus
🏖️ Benefits
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance) • 401K • Translation/Interpretation support • VISA sponsor + Relocation support
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