Staff Data Scientist (Grant)

Join Kikoff, a consumer fintech company focused on expanding access to credit for un- and under-banked customers. As a Staff Data Scientist, you will lead the data work for a specific product area within the Grant business, define and maintain the measurement system, own product experimentation, and partner with business leads on roadmap and objectives. You will also contribute to technical direction and best practices for data science across Kikoff.

• Lead the data work for a Grant product area, setting the questions worth answering, building the evidence, and driving what happens next.
• Define and maintain the measurement system for your product area, contributing to the Grant-wide measurement framework alongside other data scientists.
• Partner with Grant's business lead and the area leads on roadmap and objectives, determining which bets to take and what a win looks like.

• Experience partnering with product, engineering, and marketing peers across the whole arc of the work: strategy, goal setting, approach, and execution, not just the analysis at the end
• AI tools are a core part of your daily analytical work and you can show how they changed the speed and quality of what you ship
• Hands-on with production-quality SQL and Python. You build pipelines, analyses, and models yourself
• Designed and run experimentation programs, including changes where clean randomization wasn't available. Comfortable with quasi-experimental and causal inference methods, and clear about their limits
• A track record of defining metrics from scratch and getting a team to run on them
• You drive decisions with data in front of executive audiences, including when the data doesn't support the plan
• Experience building or working closely with models that drive decisions in a product, in any domain: ranking, fraud, forecasting, personalization, underwriting, detection. We care about the judgment, not the vertical
• Consumer fintech experience, especially products that expand access for un- and under-banked customers
• Built an experimentation or causal inference practice in an org that didn't have one
• Have taken a model from proof of concept to production, or shipped test and challenger models that changed a product decision
• Prior staff or tech-lead scope: set direction for other ICs and owned a domain's data strategy
• 8+ years in data science or analytics. Strong senior candidates will be considered for a Senior Data Scientist version of this role