# Data Scientist, Payments

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Dublin, Ireland
**Role:** Data Science
**Experience:** 3+ years
**Skills:** SQL, Python, R, Machine Learning, Statistics, Optimization, Product Analytics, Causal Inference, Experimentation, Spark, Hadoop, Artificial Intelligence
**Posted:** 2026-08-06

> The Data Scientist partners with Local Payment Methods engineering and product teams to optimize the business and guide strategy through analytics, modeling, experimentation, and causal inference. The role requires quantitative modeling experience, SQL, Python or R, strong business judgment, and clear communication.

## Job Description

## Responsibilities
- Partner with Local Payment Methods engineering and product teams.
- Use data to understand, grow, and optimize the Local Payment Methods business.
- Inform strategic business decisions through machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics.
- Work cross-functionally to deliver results.
- Communicate results clearly and drive impact.
- Manage and deliver multiple projects with a high attention to detail.
- Synthesize complex analyses into actionable recommendations.

## Requirements
- PhD, MSc, or MA with **2 years** of data science or quantitative modeling experience, or BS/BA with **3 years** of experience.
- Proficiency in SQL and a computing language such as Python or R.
- Strong business acumen.
- Proficiency with AI tools to accelerate model development, analysis, and coding.

## Nice to Have
- Hands-on experience with machine learning, statistics, optimization, product analytics, causal inference, and experimentation.
- Experience deploying models in production and adjusting model thresholds to improve performance.
- Experience designing, running, and analyzing complex experiments or using causal inference designs.
- A builder’s mindset and willingness to question assumptions and conventional wisdom.
- Experience with distributed tools such as Spark and Hadoop.
- PhD or MSc in a quantitative field such as Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, or Operations Research.

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