Senior Data Scientist, Credit Modeling

About PayPay PayPay is a fintech company that has grown to over 60M users since its launch in 2018. Our team is incredibly diverse, with members from over 50 different countries. To build "PayPay", we formed an alliance with Paytm, the largest payment service company in India. Using their customer-first technology, we created and expanded the smartphone payment service in Japan. Our biggest competitor is "cash". We are seeking individuals who can positively accept this challenge, refine the product at an extraordinary pace, and promote PayPay with professionalism and passion. Job Description We are searching for a leader who is passionate about developing innovative machine learning software systems for credit modeling and default risk prediction, deploying the system to production, and testing them to ensure all user and merchant needs are met. 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, impacting the lives of more than 60 million customers daily. You will collaborate with inspired engineering teams to integrate machine learning functionalities into the production systems we build in-house. We are looking for someone full of passion, ownership, and a love of building great things. The Product and Engineering teams will heavily rely on your build. You will be entrusted with significant responsibility. So, if challenges excite you, and you're prepared for a big one, please let us know. Responsibilities - Enhance Machine Learning talent within PayPay and drive a roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, prediction, risk underwriting etc. - Collaborate with the leadership team to identify opportunities for using ML and drive solutions in the credit sector. - Work with stakeholders to show them the benefits of using your system and driving adoption of the product. - Design scalable and deployable machine learning solutions. - Define performance and validation metrics and guide the team to achieve these. - Introduce and manage the process of model building and the infrastructure behind it. Qualifications - At least 3 years of experience as a manager managing Data Engineering and Data Science Team members. - 8+ years of software engineering experience and a track record of successfully architecting and implementing ML systems into production. - Experience in designing and building multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for data flows and algorithm execution. - Capability to explain and present analyses and machine learning concepts to a broad technical audience. - An extreme bias towards action. A "Get Things Done" attitude. - Ability to maintain high-performance within a high-energy and fast-paced work environment. - A master degree or equivalent in Computer Science, Engineering, Mathematics or related field. - Working knowledge of PyTorch, Tensorflow or similar frameworks is a plus. - Working experience of AWS SageMaker, Google Vertex is a plus. Profile - Unparalleled speed: Discover for yourself the important things to be done and implement methods to achieve the best results at the fastest possible speed for the organization. - Commitment: As a professional, commit to the growth and business goals of the organization and create impactful results through your ownership. - Logical thinking: Think logically and structurally to bring about real communication. - Curiosity and questioning mind: Maintain your curiosity about new things and challenge with a continuous questioning mind, and enjoy such circumstances in a future-oriented manner. - Problem-solving: Approach both explicit and implicit business/organization challenges properly to lead solutions involving others. PayPay 5 senses - Please refer to PayPay 5 senses to learn our work values. Working Conditions Employment Status - Full Time Office Location - WFA (Work From Anywhere at Anytime) - Remote Job - You can live anywhere in Japan Work Hours - Super Flex Time (No Core Time) - In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break) Holidays - Every Saturday/Sunday/National holidays (In Japan)/New Year's break/Company-designated Special days Paid leave - Annual leave (up to 14 days in the first year, proportionally granted 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. Salary - Annual salary paid in 12 installments (monthly) - Based on skills, experience, and abilities - Reviewed twice a year - Special Incentive once a year (Based on company performance and individual contribution and evaluation) - Late overtime allowance, Work from anywhere allowance (JPY100,000) Benefits - Social Insurance (health insurance, employee pension, employment insurance and compensation insurance) - 401K - Language Learning support - Translation/Interpretation support - VISA sponsor + Relocation support Other Information: - PayPay Inside-Out (Corporate Blog) / JP - PayPay Inside-out (Corporate Blog) / ENG - PayPay Product Blog / JP - PayPay Product Blog / ENG