Remote Senior Data Scientist

Summary

The job is for a Machine Learning Engineer at PayPay, a FinTech company that has grown to over 61M users since its launch in 2018. The role involves developing machine learning software systems for credit modeling and default risk prediction, deploying them to production, and testing them to ensure all user needs are covered.

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

• 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 Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
• Paid leave. 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)
• 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