Data Scientist
Tokyo, Tokyo, JP
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will work with stakeholders to understand data requirements and deliver solutions.
From the employer’s posting
Job Summary: This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams. Job Description:
Education & alternatives
Minimum Qualifications: * 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience. Additional Responsibilities & Preferred Qualifications:
Tools in this posting
- SQL
- Hive
- Looker
- Prefect
- SageMaker
- Spark
- Tableau
- Airflow
- Python
- BigQuery
Source — Tool mentions in context
* 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 Subsidiary:
Additional Responsibilities & Preferred Qualifications: * 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 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
* 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
Benefits in the posting
Full benefits wording- At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
From the employer’s posting.
About PayPal
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging.
In the employer’s words · Read in context
Job description
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tokyo, Tokyo, JP
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits:
- Work authorization
Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal:
- Status in our records
- Active
- First seen by us
- Sep 12, 2026
- Recorded sightings
- 126
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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