Marketing Data Scientist

Posted 2 Days Ago
Easy Apply
San Francisco, CA, USA
Hybrid
160K-200K Annually
Junior
Fintech • Software • Financial Services
Join our user-focused team on a mission to help people reach financial goals & protect privacy.
The Role
As a Marketing Data Scientist, you'll manage marketing measurement, channel attribution, and experimentation to optimize marketing spend and support growth decisions.
Summary Generated by Built In

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.

Top Skills

Python
SQL
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The Company
HQ: San Francisco, CA
165 Employees
Year Founded: 2019

What We Do

Kikoff is a personal finance platform that offers the simplest credit-building solution out there: $0 fees, 0% interest, and no credit pull. Your credit score is the foundation of your financial health – yet most people don’t have the credit score they deserve. That’s why Kikoff built the most accessible and affordable credit-building solution – it’s also the fastest growing and the top-rated credit building mobile app. Kikoff works whether you’re new to credit or looking for an extra boost. Building credit is just the start; Kikoff is building a personal finance platform designed to help consumers achieve financial wellness. Driven by the co-founders’ and team’s personal experiences, Kikoff’s mission is to provide refreshingly fair, effective, and simple pathways to meet your financial goals. Kikoff is a Series B company and has raised over $42 million in total funding. Investors include Portage Ventures, Lightspeed Venture Partners, GGV, Coatue, Core Innovation Capital, and basketball star Stephen Curry. Kikoff was founded in 2019 and is headquartered in San Francisco, California.

Why Work With Us

We are building an organization that maximizes growth and learning; we are invested in helping you grow and achieve what you want in your career. Our principles include a bias towards action, work in public, first principles thinking, intellectual honesty and extreme ownership.

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