Data Scientist, Financial Engineering

Highlights

• Own checkout and payments analytics to boost conversion across global markets.
• Lead subscription and monetization analytics to reduce churn and payment failures.
• Define source-of-truth metrics and dashboards driving revenue decisions at scale.

What they offer

• Equity
• Relocation assistance

Ideal candidate

Analytical data scientist with 5+ years in fintech or high-growth products who loves owning payments and subscription metrics. Strategic communicator energized by global monetization tradeoffs and partnering across product, engineering, and finance.

Requirements

• 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
• Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
• Experience building product metrics from scratch and operationalizing them for decision-making
• Excellent communication skills with PMs, engineers, risk/finance partners, and executives
• Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)