Senior Data Scientist, Credit Modeling

Job Description

PayPay, a rapidly growing FinTech company with over 69 million users, is seeking a Senior Data Scientist to join their team. The ideal candidate will be passionate about developing machine learning software systems for credit modeling and default risk prediction. This role involves deploying systems to production and ensuring they meet the needs of all users and merchants.

The Senior Data Scientist will be responsible for performing ETL to build model features using petabyte-scale datasets and developing high-throughput, low-latency systems to serve models in production. They will collaborate with innovative engineering teams to integrate machine learning functionalities into in-house production systems.

PayPay is looking for a candidate who demonstrates passion, ownership, and a love for building great things. The Product and Engineering teams will rely heavily on the Senior Data Scientist's contributions, offering significant trust and responsibility.

Responsibilities:

• Drive a roadmap for applying Machine Learning 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

Qualifications:

• 8+ years of software engineering experience with a track record of architecting and deploying ML systems to production.
• Experience designing and building complex, scalable, high-throughput, low-latency streaming/batch processing machine learning pipelines.
• Ability to explain and present analyses and machine learning concepts to a broad technical audience.
• Bias towards action and a "Get Things Done" attitude.
• Ability to maintain high performance in a fast-paced environment.
• Master's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Working knowledge of PyTorch, Tensorflow, or similar frameworks (a plus).
• Working experience of AWS SageMaker, Google Vertex (a plus).

What PayPay Offers:

• Full-time employment
• Hybrid workstyle (flexible working style including Remote and office)
• Super Flex Time (No Core Time)
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Translation/Interpretation support
• VISA sponsor + Relocation support