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Staff Data Scientist - Financial Platform

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Cash App

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Location:
United States , Bay Area

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

239600.00 - 359400.00 USD / Year
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Job Description:

We are looking for an experienced Data scientist to join Block’s AI, Data, and Analytics (AiDA) team. This role will support the Financial Platform (FinPlat) organization, focusing on “acquiring side” A|B testing, reporting, strategic analysis, and automation. FinPlat is the “central nervous system” of Block, enabling the movement and ledgering of funds for our three main businesses: Square, Cash App, and AfterPay. Additionally, FinPlat provides significant financial impact through optimization of transaction costs and authorization rates.

Job Responsibility:

  • Establish subject-matter expertise in payment rails, focusing on cards (pre-paid, debit, credit, etc.) and bank rails (wire, ACH, direct deposit, etc.)
  • Influence product roadmaps and guide the Financial Operations (FinOps) team to navigate through product opportunities and problem ambiguities
  • Build “soup to nuts” data products, taking raw eventing data from engineering teams and turning into actionable analyses and ML models
  • Partner with Engineering and Operations leadership to drive a culture of data-driven financial impact
  • Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability

Requirements:

  • 12+ years of related experience (data science, preferably in payment analytics, chargebacks, or related fields) with Bachelor's degree
  • or 8 years and a Master’s degree
  • or a PhD with 5 years experience
  • or equivalent experience
  • At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc.
  • Experience working on ambiguous problems with high business impact and resolving complex issues in innovative and efficient ways
  • Expertise in hypothesis testing and causal inference
  • A strong understanding and willingness to be hands-on in building data pipelines and architecture
  • Ability to build strong relationships with cross-functional stakeholders, clearly communicating findings and influencing product designs
  • Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

Nice to have:

  • Experience working in Fintech or banking
  • Have an advanced degree
What we offer:
  • Remote work
  • medical insurance
  • flexible time off
  • retirement savings plans
  • modern family planning

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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