Senior Data Scientist, Marketing

Kajabi is in the middle of a once-in-a-decade transformation.

After fifteen years, our founders returned to rebuild Kajabi with the same speed, hunger, and grit that sparked the original movement. We’re not a corporate SaaS company trying to play it safe — we’re a team of builders rewriting the future of the expert economy.

Millions of people around the world rely on Kajabi to share what they know and change lives because of it. Our Heroes aren’t “customers”… they’re everyday entrepreneurs using Kajabi to build freedom for themselves and impact for others.

If you want to be part of a company moving fast, raising the bar, and building something that actually matters — welcome in.

We are seeking a Senior Data Scientist specializing in Marketing Analytics to elevate Kajabi’s growth engine through rigorous measurement, attribution, and forecasting. In this high-impact role, you will lead the and execution of our marketing data science strategy—empowering Marketing, Growth, and Finance teams with the models, insights, and frameworks needed to make confident, data-driven investment decisions. You will own advanced modeling across attribution, incrementality, media mix modeling (MMM), customer lifetime value analysis, and forecasting to enable Kajabi to deploy marketing spend efficiently and maximize ROI.

• 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.

• 7+ years in data science or analytics, with deep experience in performance marketing
  , growth analytics, attribution, or forecasting—preferably in a SaaS or digital subscription business.

• Expert knowledge of SQL and Python (R optional).
• Hands-on experience building production-ready models for:
• Multi-touch attribution
• Media mix models / regression-based MMM
• Incrementality / causal inference
• 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.

• Competitive full-time salary + bonus + equity eligibility
• Full medical, dental, and vision (company-paid for you + family)
• 401(k) with 6% match
• Flexible PTO
• Fitness + wellness perks
• Mental health resources
• In-office lunches,…