Marketing Data Scientist

Kikoff: A FinTech Unicorn Powering Financial Progress with AI

At Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry.

Why Kikoff

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

The Role

You'll be the analytical engine behind Kikoff's paid media channels — owning diagnostics, experimentation, and measurement that inform tens of millions in spend decisions. This is not a reporting role. You'll work at the intersection of causal inference, channel economics, and attribution, partnering closely with Growth leadership and our Head of Marketing Data Science.

Responsibilities

• Own marketing measurement and attribution frameworks across paid channels (e.g., Google, Meta, TikTok, TV), including experimentation, incrementality testing, and attribution modeling to quantify channel effectiveness and guide budget allocation
• Build and operationalize scalable measurement solutions such as Marketing Mix Models (MMM), channel-level performance diagnostics, and CAC/LTV forecasting to support growth decisions and optimize marketing spend
• Design and execute 5–6 incrementality tests annually, including power analysis, monitoring, and executive readouts
• Reconcile platform-reported metrics with internal attribution models and MMM (Northbeam) outputs
• Build and maintain real-time anomaly detection across acquisition channels
• Support brand test design and translate NPS/sentiment signals into growth insights

Qualifications

• 2+ years in data science or analytics, with at least 2 years in marketing or growth contexts
• Expert SQL and strong Python; deep familiarity with experimentation design and causal inference methods
• Experience with paid media channels and platform-level attribution mechanics
• Comfort with MMM outputs and reconciling econometric findings with channel data
• Strong communicator — able to translate statistical results into clear recommendations for non-technical stakeholders
• Bachelor's or advanced degree in a quantitative discipline

Bonus Points

• Hands-on experience with incrementality frameworks (geo-based, time-based, ghost ads)
• Familiarity with Northbeam, Rockerbox, or similar attribution tooling
• Background in fintech, consumer lending, or subscription growth

Base Range

$160,000 - $200,000 USD

Equal Employment Opportunity Statement

Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Please reference the following for more information.