Data Scientist, Payments

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.