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Kikoff Verified
Fintech, Financial Services

Marketing Data Scientist

San Francisco, California, United StatesFull Time$160,000–$200,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Kikoff is seeking a Marketing Data Scientist to serve as the analytical engine for their paid media channels. This role will own diagnostics, experimentation, and measurement to inform significant spend decisions, operating at the intersection of causal inference, channel economics, and attribution. Responsibilities include building and operationalizing measurement frameworks like MMM and incrementality testing, designing and executing tests, reconciling platform data, and supporting brand test analysis. The ideal candidate has 2+ years in data science/analytics with at least 2 years in marketing/growth contexts, expert SQL, strong Python, and deep familiarity with experimentation and causal inference methods. Comfort with MMM outputs and strong communication skills are essential.

Kikoff: The Fintech Powering Financial Security at ScaleKikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.

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.

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