Senior Data Science Engineer

Summary

Join PayPay, a rapidly growing FinTech company with a diverse team, and contribute to our mission of driving value-added product improvements. We offer a unique opportunity to work on challenging projects, constantly learn and grow, and make a significant impact. As a Data Scientist, you will process and analyze data, design algorithms, and collaborate with cross-functional teams. We provide a hybrid workstyle with flexible hours and a comprehensive benefits package. This role requires a Bachelor's degree in a quantitative field, 5+ years of relevant experience, and proficiency in programming languages and SQL. Preferred qualifications include a Master's or PhD, experience with Big Data technologies, and expertise in recommendation systems.

Requirements

• Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
• Excellent verbal and written communication skills in English and/or Japanese
• More than five years of work experience as a data scientist, software engineer, statistician, or equivalent role
• Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)

Responsibilities

• Process, analyze, and create visualizations for both structured and unstructured data
• Design and maintain algorithms for predictive modeling and recommendations
• Collaborate with data engineers, product managers, and stakeholders to build robust production systems

Preferred Qualifications

• Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
• More than seven years of experience as a data scientist, machine learning engineer, or equivalent role
• Experience building and maintaining microservices
• Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
• Extensive knowledge and work experience in recommendation systems, deep learning, NLP, and optimization
• Experience with AWS services such as Glue, SageMaker, Athena, and S3
• Experience designing and conducting A/B and hypothesis tests

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Language Learning support
• Translation/Interpretation support
• VISA sponsor + Relocation support
• Hybrid Workstyle (flexible working style including Remote and office)
• Super Flex Time (No Core Time)
• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
• 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
• Annual salary paid in 12 installments (monthly)
• Based on skills, experience, and abilities
• Reviewed once a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance