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Kajabi · 6 hours ago

Senior Data Scientist, Marketing

Newport Beach, CA

Full-time

Onsite

Senior Level

$130K/yr - $174K/yr

7+ years exp

Kajabi is a company undergoing a significant transformation, seeking a Senior Data Scientist specializing in Marketing Analytics. In this role, you will lead the marketing data science strategy, providing insights and models to empower various teams in making data-driven decisions and maximizing marketing ROI.

CRME-CommerceEdTechLead GenerationMarketing

No H1B

Responsibilities

Lead the design, implementation, and maintenance of multi-touch attribution (MTA), incrementality testing, and media mix modeling (MMM) to quantify channel effectiveness and guide investment decisions

Build frameworks to evaluate both paid and organic growth levers (e.g., paid social, paid search, influencer, lifecycle, affiliates, SEO)

Develop predictive models for CAC, LTV, and payback windows, partnering closely with Finance to align with revenue goals

Build forecasting models for acquisition, spend efficiency, and conversion funnels

Work closely with Marketing, Growth, Finance, and Product to define KPIs and measurement approaches that align to Kajabi’s OKRs

Translate complex modeling output into simple, compelling recommendations for senior leadership

Partner with Growth and Lifecycle teams to design and analyze A/B tests, holdout experiments, geo-tests, and uplift modeling

Establish best practices for experimentation, measurement, and statistical rigor across the marketing org

Collaborate with Data Engineering and Analytics Engineering to ensure data pipelines, identity resolution, and event schemas effectively support attribution and marketing analytics workflows

Advocate for clean, scalable datasets powering marketing insights and models

Serve as the marketing data science thought leader—shaping how Kajabi invests in acquisition, retention, and lifecycle programs

Present forecasts, risks, and recommendations to senior leaders to guide strategic decisions

Qualification

SQLPythonMulti-touch attributionMedia mix modelingIncrementality testingCustomer lifetime valueDigital marketing channelsCommunicationProblem solving

Required

7+ years in data science or analytics, with deep experience in performance marketing, growth analytics, attribution, or forecasting

Expert knowledge of SQL and Python

Hands-on experience building production-ready models for multi-touch attribution

Hands-on experience building production-ready models for media mix models / regression-based MMM

Hands-on experience building production-ready models for incrementality / causal inference

Hands-on experience building production-ready models for LTV, CAC, retention, and forecasting

Strong understanding of digital marketing channels (paid social/search, display, affiliates, lifecycle), conversion funnels, and marketing measurement challenges

Proven ability to communicate technical concepts to non-technical stakeholders and influence investment decisions

Strong analytical skills with a proactive mindset for identifying growth opportunities and efficiency improvements