Lead Data Scientist (Saas)

TL;DR

Lead Data Scientist (Saas): Leading a team of data scientists to deliver insights, experimentation, and strategic clarity for user onboarding, personalisation, and lifecycle journeys. Focus on designing and rolling out end-to-end experiments, driving engagement and retention, and enabling data-driven personalised user experiences at scale.

Company

Join the team redefining how the world experiences design with flexible work locations across Australia and New Zealand and a strong focus on employee wellbeing and inclusion.

What you will do

• Coach and lead embedded data scientists to deliver insights and experimentation.
• Own key metrics for onboarding, personalisation, and lifecycle journeys to guide decisions.
• Lead end-to-end experimentation from hypothesis design to rollout recommendations.
• Partner with Product, Engineering, and Design teams to drive engagement, retention, and activation.
• Enhance experimentation and BI foundations using Snowflake, Looker, and internal tools.
• Translate data into actionable recommendations and set standards for impactful analysis and storytelling.

Requirements

• Must be fluent in English (B2+).
• Remote work with flexibility across Australia and New Zealand regions.
• Proven leadership and coaching experience in data science within fast-paced product environments.
• Strong expertise in experimentation, retention analytics, and lifecycle metrics.
• Proficiency in SQL and data wrangling with Python or R.
• Experience with SaaS product datasets and delivering clear, evidence-based recommendations.

Culture & Benefits

• Equity packages to share in company success.
• Inclusive parental leave supporting all parents and carers.
• Annual allowance for wellbeing, social connection, and office setup.
• Flexible leave options to support personal recharge and impact.
• Virtual interview process with focus on skills, experience, and culture fit.