Staff Data Scientist, Grant

What you'll do

• Define product-area metrics and experimentation, analyze results, and recommend rollouts or policy changes.
• Build and evaluate decision models, including offline evaluation and production monitoring with engineering.
• Partner with product-area and business leads on roadmap and objectives; help set data science technical direction and AI practices across Kikoff.

What they ask for

• Partner with product, engineering, and marketing across strategy, goal setting, approach, and execution.
• Define metrics from scratch and establish team practices around them.
• Design and run experiments, including when clean randomization is unavailable; apply quasi-experimental and causal inference methods while recognizing their limits.
• Hands-on production-quality SQL and Python; experience with decision-driving models, daily use of AI tools in analytical work, and presenting data-driven recommendations to executives.

Nice to have

• Consumer fintech experience, especially products serving un- and under-banked customers; or building an experimentation or causal inference practice.
• Taking models from proof of concept to production, shipping test and challenger models that changed decisions, or prior staff/tech-lead scope.

Pay

$265,000 — $306,000 USD base salary

Tools

SQL, Python

AI focus

Help define how AI agents support analysis, exploration, pipelines, and experiment readouts; AI tools are expected to be part of daily analytical work.