Data Scientist

PayPal
Tokyo
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 1+ yearsEducation: bachelorsSkills: ["Collaboration","Stakeholder management","Analytical thinking","Experiment design"]

Develop and implement data science models and algorithms to support business needs. Collaborate with stakeholders to understand data requirements, analyze complex datasets, and ensure data quality and integrity. Optimize data processes for efficiency and performance, and perform advanced statistical analysis and reporting. Work with large-scale data and production ML/ETL pipelines using tools such as Spark, SQL, Python, and managed services like SageMaker, with BI reporting via Looker or Tableau.

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FursaFursa
PayPal
PayPal
13 hours ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Develop and implement data science models and algorithms to support business needs. Collaborate with stakeholders to understand data requirements, analyze complex datasets, and ensure data quality and integrity. Optimize data processes for efficiency and performance, and perform advanced statistical analysis and reporting. Work with large-scale data and production ML/ETL pipelines using tools such as Spark, SQL, Python, and managed services like SageMaker, with BI reporting via Looker or Tableau.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Develop and implement data science models and algorithms to support business needs.
  • •Analyze and interpret complex datasets to derive insights and inform decision-making.
  • •Ensure data quality and integrity throughout data and analytics workflows.
  • •Collaborate with stakeholders to understand data requirements and deliver solutions.
  • •Optimize data processes for efficiency and performance and produce statistical analysis and reporting.

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning BudgetRetirement

Key Requirements

  • •1+ years of relevant experience and a Bachelor’s degree (or equivalent combination of education and experience).
  • •Strong command of SQL for writing performant queries on large, partitioned tables.
  • •Excellent proficiency in Python and the ability to develop and implement data science models and algorithms.
  • •Experience extracting insights and engineering features from large datasets (e.g., clickstream, app activity, streaming logs) using big data frameworks.
  • •Experience building ETL pipelines and production ML workflows using orchestration tools and managed ML services.
Experience:1+ yearsBig dataMachine learning
Education:Bachelor's
Skills:CollaborationStakeholder managementAnalytical thinkingExperiment design
Tech Stack:PythonSQLSparkHiveAthenaBigQueryLookerTableauSageMakerPrefectAirflowArgoGitHub

Company Brief

PayPal
Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1998
WebsiteLinkedIn