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Product Data Science Lead

Melbourne💼 Full-time🗓 2026-08-12 → 2026-09-26

Core

Lead product analytics and data modeling to drive product performance, adoption, and retention for a cyber risk management platform.

Role type

Senior Product Data Science Lead

Builds

Product analytics semantic layer, KPI frameworks, and self-service dashboards for product and sales teams

Domain

Cybersecurity / SaaS Product Analytics

Deliverable

dashboards & analysis

Required skills

Product analytics (activation, engagement, retention), KPI definition, dbt modeling, statistical reasoning, SaaS metrics fluency, data infrastructure knowledge, AI/LLM tooling

Preferred skills

Causal inference, AI engineering, product analytics tools (Segment, Mixpanel, Amplitude), B2B SaaS metrics (NRR, GRR, PQL)

Technologies

dbt, BigQuery, ThoughtSpot, Omni, Looker, Segment, Mixpanel, Amplitude, HubSpot, Salesforce

Responsibilities

Define product KPIs and milestones, build governed semantic layers for AI and human query, conduct deep-dive technical analysis on product challenges, partner with Sales/CS on adoption signals, create self-service dashboards, translate requirements into data models

Seniority

Senior, hands-on IC with strategic ownership

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