Senior Data Scientist

Join Kikoff, a consumer fintech company focused on expanding access to credit for un- and under-banked customers. As a Senior Data Scientist, you will lead the data work for a core product area, define and maintain the measurement system, own product experimentation, evaluate AI products, and partner with cross-functional teams. You will also help set technical direction and best practices for data science across the company.

Lead the data work for a core Kikoff product area, setting the questions worth answering, building the evidence, and driving what happens next.

About Kikoff

• 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
• 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

Responsibilities

• Define and maintain the measurement system for your area across the whole customer journey, and contribute to the Kikoff-wide measurement framework.
• Own product experimentation for your area, including design, guardrails, analysis, and the recommendation on rollouts.
• A track record of defining metrics from scratch and getting a team to run on them, including for products where success was hard to pin down
• Designed and ran experimentation programs, including changes where clean randomization wasn't available. Comfortable with quasi-experimental and causal inference methods, and clear about their limits
• Hands-on with production-quality SQL and Python. You build pipelines, analyses, and models yourself
• You drive decisions with data in front of senior audiences, including when the data doesn't support the plan

Requirements

• Experience building or working closely with models that drive decisions in a product, in any domain: ranking, fraud, forecasting, personalization, underwriting, detection, LLM applications. We care about the judgment, not the vertical
• Built or ran an evaluation program for an LLM-based product: judge design, validation against human labels, test-case construction from real failures
• Have taken a model from proof of concept to production, or shipped test and challenger models that changed a product decision

Preferred

• Have mentored, onboarded, or managed the work of other data scientists

Pay

USD 226,000 - 254,000