Data Science Engineer

About PayPay

PayPay, a fintech company, that achieved more than 50M users within around 4 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.

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.

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

Required Qualifications

• 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 three 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)

Preferred Qualifications

• Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
• More than five 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

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

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 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)
  ＊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 once 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