About Paidy Inc. 

We're Japan's leading "Buy Now, Pay Later" payments service with over 10 million customers. You can use Paidy to buy an iPhone at Apple on a monthly payment plan, it's a top payment method on Amazon Japan, and it's offered at thousands of other partner merchants to give Japan more choice for how to shop. That of course means we have lots of data about how Japanese consumers shop online as well as how they interact with our services like our App and web interface.

Data Department's story: we’re an 11-member team with data engineers and data scientists that has built a data platform from the ground up on AWS with Glue, Spark, EMR, and Prefect. We manage our own tooling for data science work with Sagemaker Notebooks and Looker. We build complete data science solutions to Paidy's business teams and service back-ends in the form of Looker dashboards, A/B test evaluation tools for marketing campaigns and App personalization, propensity score-based user segmentations, forecasts, and simulations. Data scientists in our department work with the same tools as data engineers and review and deploy SparkSQL or Scala-based ETL pipelines, Sagemaker ML Pipelines, and more to our production environment to ship their projects. 

We are fully remote but always collaborating, having internal huddles for a project, helping each other out on Slack, and meeting with product managers, marketing managers, and other business owners as collaborative partners.

 

About Position

Your role: as a Senior Data Scientist in the team, you'll work on data science projects related to marketing, UX, product design, and financial planning, focused on helping the company make the right product improvements and strategic decisions for our customers and business bottom line. Your projects will make a direct impact, touching Paidy's consumers and merchants, driving business decisions for the future strategic direction of Paidy. 

Your role involves frequently consulting with business owners and executive team to understand a project/topic quickly, then proposing and delivering a solution to them and do so in a way that adds/enhances our department's assets in terms of feature engineering pipelines, predictive models, custom data marts, simulation/forecasting tools/algorithms, Scala Spark packages, and Looker model changes. If you want a hands-on fast-paced environment in a small team where you own something big and your data science solutions actually make a difference, consider joining us!

 

Skills and Requirements

  • More than 5 years experience as a Data Scientist at technology, marketing, media, entertainment companies solving related business problems (see above)
  • Experience extracting insights and engineering features from large datasets (clickstream data, app activity data, streaming service logs) using big data frameworks like Spark, Hive, Athena, BigQuery
  • Experience working with a BI tool like Looker, Tableau. Looker dashboards are one of the main tools we use to deliver data science solutions.
  • Experience developing predictive models applied to real-world business problems in technology industry, experience working with production ML pipelines with a managed service like Sagemaker is a plus
  • Good foundational skills with statistics, experience designing and evaluating experiments that aim to cause behavior change on some group of customers/users
  • Experienced building ETL pipelines with a job orchestration tool like Prefect, Airflow, Argo
  • Experienced working with github and a staging-production development environment for ETL and ML pipelines
  • Excellent command of SQL (understanding how to write performant queries on big partitioned tables) and Python

 

What We Offer You

  • Diversified team with 238+ colleagues from 42+ countries
  • Exciting work opportunities in a rapid-growing organization
  • Cross-functional collaboration
  • Flexible work-from-home arrangement
  • Competitive salary and benefits

 

Paidy Values

Be a winner / 勝ちにこだわる

  • Always seek to beat expectations / 期待値を超える為に常に努力する
  • Display surprising speed and resourcefulness / 人をスピードと機知で驚かす
  • Overcome weaknesses by leveraging the strength and help of others to win / 仲間の強みを活かしたり協力を得ることで、自身の弱みや足りない点を克服する

Own and deliver, together / 共に結果を出す

  • Fully support the final decision even if at times you may disagree / たとえ意見が対 立することがあったとしても、最終決定を全面的に受け入れ支持する
  • Acknowledge and gather the power of others, by communicating and collaborating with them / 仲間の力を認めて活用し、積極的にコミュニケーションをとり、協力 する
  • Show a will to own actions and go the extra mile without being asked / 行動につい て強いオーナーシップを持ち、言われずとも業務を遂行しきる覚悟を持つ

 Be a valued team member / 価値を認められるメンバーになる

  • Strive to play an integral role / 替えの効かない役割を果たす
  • Embrace and bridge differences in perspective, language and culture / 異なる意見・考え方、言語と文化の架け橋になる
  • Don’t compromise - raise the bar for yourself and others / スタンダードを上げ続けることに妥協しない

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