Senior Marketing Data Scientist
About The Position
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.
Requirements
- 4+ 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
Nice To Haves
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
