Senior Data Scientist

About this role

Lead the strategy and delivery of production-grade predictive models that support sales, customer success, product-led growth, and retention. The role covers the full lifecycle—from modeling and deployment to impact measurement and ongoing monitoring.

About the company

Iterable is a cross-channel marketing platform for email, push, SMS, and in-app messaging. It helps growth and lifecycle teams orchestrate personalized customer journeys.

The team

Business Operations, within Finance & Corporate Operations.

Stack

What you'll do

• Build models for product-led conversion, propensity to buy or upsell, churn risk, and customer engagement.
• Deploy models for batch and real-time scoring and integrate their outputs into business workflows.
• Establish monitoring for data integrity, model drift, prediction quality, and retraining.
• Use causal inference and experiments to measure the incremental business impact of predictive scores.
• Translate model results into actionable strategies for GTM, Product, and Finance leaders.
• Set data science infrastructure and governance practices, and mentor data scientists and analytics engineers.

What we're looking for

• 6+ years of industry experience as a data scientist or ML engineer, including 3+ years supporting BizOps, Revenue Ops, Product Analytics, or Growth.
• Track record of deploying propensity, retention, or PLG conversion models that deliver measurable business value.
• Strong understanding of B2B SaaS metrics and funnels, including PQL, ARR, CAC payback, NRR, trial-to-paid conversion, and cohort retention.
• Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field.

Benefits

• Equity
• Private medical insurance
• Life and risk assurance
• €8.55 daily meal allowance
• Additional paid balance days and 22 days of annual leave
• Paid sabbatical after four years
• Initial laptop workstation setup
• Teleworking allowance