data
Posted Apr 6Marketing Data Scientist
at Kikoff
San Francisco, United StatesOn-site
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
- Build and maintain real-time anomaly detection across acquisition channels
- Support brand test design and translate NPS/sentiment signals into growth insights
Requirements
- Kikoff: A FinTech Unicorn Powering Financial Progress with AI
- With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most.
- We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships.
- Expert SQL and strong Python; deep familiarity with experimentation design and causal inference methods •
- Experience with paid media channels and platform-level attribution mechanics
- 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
Experience
- 2+ years in data science or analytics, with at least 2 years in marketing or growth contexts
Benefits
- We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck.