Data Scientist

Paidy is Japan's pioneer and leading BNPL service company. At Paidy, we believe in creating simple, instant experiences to take the hassle out of shopping with a touch of magic.

Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers. 

Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services.

Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com. 

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! 

• More than 5 years of experience as a Data Scientist at technology, marketing, media, or entertainment companies solving related business problems as described 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
• Experience 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

• 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。

• 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。

• 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。