Data Scientist: ML, Causal Inference & Experiments

Stripe; Dublin; On-site; EUR 77,000 - 116,000; Full time

Job summary

Stripe is seeking a Data Scientist to partner with Local Payment Methods (LPM) engineering and product teams in Dublin, Ireland. You will use data, ML, and statistical modeling to understand and grow the LPM business, inform strategy, and optimise charge flows while aligning with Stripe’s broader goals.

The role requires advanced degrees or substantial experience in data science, with proficiency in SQL and Python/R, plus a track record of delivering impact through collaboration and rigorous

Qualifications

• PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience.
• Proficiency in SQL and a computing language such as Python or R.
• Experience in working with cross-functional teams to deliver results.
• Ability to communicate results clearly and a focus on driving impact.
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
• Strong business acumen and experience in synthesizing complex analyses into actionable recommendations.
• Proficiency with AI tools to accelerate model development, analysis, and coding.

Responsibilities

• Partner with Local Payment Methods engineering and product teams to grow and optimise the LPM business.
• Leverage data to make strategic business decisions and drive impact.
• Apply machine learning, statistics, causal inference, optimisation, experimentation, and analytics to improve products and processes.

Skills

SQL

Python/R

Cross-functional teams

Communication

Project management

Business acumen

AI tools

Education

PhD/MSc/MA +2y or BS/BA +3y data science

Tools

Spark

Hadoop

Job description

Stripe is seeking a Data Scientist to partner with Local Payment Methods (LPM) engineering and product teams in Dublin, Ireland. You will use data, ML, and statistical modeling to understand and grow the LPM business, inform strategy, and optimise charge flows while aligning with Stripe’s broader goals.

The role requires advanced degrees or substantial experience in data science, with proficiency in SQL and Python/R, plus a track record of delivering impact through collaboration and rigorous