Senior Data Scientist, Credit Modeling

Summary

Join PayPay, a rapidly growing FinTech company with over 65 million users, as a leader in machine learning. You will develop and deploy novel machine learning systems for credit modeling and default risk prediction, working with petabyte-scale datasets. This role requires strong software engineering experience and a proven track record of building and deploying ML systems to production. You will collaborate with innovative engineering teams and drive the adoption of your solutions. The position offers a high degree of responsibility and trust, along with a flexible work-from-anywhere arrangement in Japan. PayPay values speed, commitment, logical thinking, curiosity, and problem-solving.

Requirements

• 8+ 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

Responsibilities

• Drive a roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, predication, risk underwriting etc
• Work with the leadership team to identify opportunities for using ML and drive solutioning in areas of Credit
• Work with stakeholders to show them the benefits of using your system and driving adoption of the product
• Designing scalable and deployable machine learning solutions
• Define performance and validation metrics and coach the team to achieve these
• Introduce and own the process of model building and the infrastructure behind it

Preferred Qualifications

• 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
• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment)
• ���PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance
• Work From Anywhere at Anytime
• Super Flex Time (No Core Time)
• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days