Senior Data Scientist

What you'll do

• Own product-area measurement and experimentation, including metrics, causal analysis, rollout recommendations, and the broader measurement framework.
• Evaluate AI product surfaces by defining quality criteria, validating automated scorers against human judgment, and creating regression tests from real product failures.
• Build and evaluate models, partner with cross-functional leads on roadmap decisions, and help set data science practices and mentor teammates.

What they ask for

• Partner with product, engineering, and marketing peers across strategy, goal setting, approach, and execution.
• Define metrics from scratch and establish them as a team's operating measures.
• Design and run experimentation programs, including situations without clean randomization; understand quasi-experimental and causal inference methods and their limitations.
• Hands-on production-quality SQL and Python; experience with product decision-making models, daily use of AI tools in analytical work, and presenting data-driven decisions to senior audiences.

Nice to have

• Built or ran an evaluation program for an LLM-based product.
• Consumer fintech experience, built experimentation or causal inference practice, productionized or challenged models, or mentored data scientists.

Pay

$226,000 — $254,000 USD (base salary)

Tools

SQL, Python, LLM

AI focus

Own evaluation of AI product surfaces, including automated scorers validated against human judgment and regression tests based on real conversations; help define workflows using AI agents across analysis, pipelines, and experiment readouts.