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Senior Data Scientist, Credit Modeling
- Remote OK - Anywhere in Japan
- Full-time
- January 17, 2024
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 60 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.
Responsibilities
- Grow Machine Learning talent within PayPay and 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
Qualifications
- At least 3 years of experience as a manager and managing Data Engineering and Data Science Team members.
- 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
- Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus
- Working experience of AWS SageMaker, Google Vertex is a plus
About PayPay
PayPay, a fintech company that achieved more than 47M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries.
Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.
PayPay’s policies during COVID-19 are as follows:
PayPay has been transitioning to remote work to ensure employees safety during the pandemic, and we’ll continue this even after it subsides.
While we’re open to considering engineers looking to relocate to Japan, travel restrictions have made it difficult to give a clear timeframe for relocation.
Until COVID-19 is settled and we're ready to issue visas, you can start working remotely from abroad.
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