Marketing Data Scientist

Full Timejunior

San FranciscoPosted 18 days ago

Role Overview

Kikoff is hiring a entry-level Marketing Data Scientist. This is a full-time role in San Francisco. Part of Kikoff's Security hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Junior-level Security roles is $84k-$110k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonSQLCACLTVForecastingOREEOCKikoff

Job description

Kikoff: The Fintech Powering Financial Security at Scale
Kikoff 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.

About Kikoff

Kikoff

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Frequently Asked Questions

How do I apply for the Marketing Data Scientist position at Kikoff?

Use the Apply button above to submit your application directly to Kikoff. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Marketing Data Scientist position at Kikoff located?

This position is based in San Francisco. Kikoff has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Marketing Data Scientist at Kikoff earn?

Kikoff has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Marketing Data Scientist role at Kikoff posted?

This role was posted on June 29, 2026 (18 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Is the Marketing Data Scientist role at Kikoff entry-level?

Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Kikoff has listed.

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