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Stripe

Staff Data Scientist

Stripe

Published 11 May 2026
N A
Full Time

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Role Highlights

Languages used

Key skills

Machine Learning
Data Science
Operations Research
Infrastructure
Forecasting
Inference
Modelling
Quantitative
Statistics
Mathematics
Economics
Automation

Tools, Libraries and Frameworks

Description

The role involves providing strategic direction to cross-functional partners to enable business growth through data science. The individual will lead technical initiatives in areas such as experimentation, forecasting, and attribution while resolving complex problems through iterative execution. Responsibilities include identifying company-wide opportunities for data science applications and designing outputs that deliver value to users. The position requires contributing to the overall strategy and roadmap of the data science organization. Additionally, the role involves evangelizing best practices and providing mentorship to data science talent to foster professional growth.

Required Qualifications and Skills

Candidates must possess at least 10 years of experience in data science or a related quantitative field. A B.S., M.S., or Ph.D. in a quantitative discipline such as statistics, mathematics, or engineering is required. Applicants must demonstrate expertise in causal inference and the ability to lead organization-wide initiatives. The role requires proven skills in stakeholder collaboration, strategic alignment, and mentoring peers.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

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Stripe

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