CareerPlanSign in

Data Scientist - Product Analytics

Melbourne🌐 Remote💼 Full-time🗓 2026-09-18 → 2026-09-26

Core

Build AI-native analytical solutions and agentic workflows using data science methodology to help businesses unlock value from data.

Role type

Mid-level IC data scientist (AI-native analytics)

Builds

Agentic workflows, scalable analytical solutions, and reusable specifications for product analytics.

Domain

Data science and artificial intelligence (AI-native analytics)

Deliverable

production ML models | product features

Required skills

Python, SQL, feature engineering, model development, cloud platforms (AWS/Azure/GCP), AI tool usage, ML/AI fundamentals (LLMs, transformers)

Preferred skills

Experience with AI tools (Claude, ChatGPT, GitHub Copilot), understanding of agentic maturity frameworks

Technologies

Python, SQL, GCP, Azure, AWS, Claude, ChatGPT, GitHub Copilot

Responsibilities

Apply data science methodology (feature engineering, model development, testing), build AI-native analytical solutions, critically evaluate AI outputs, contribute across the data lifecycle, design scalable approaches, collaborate across teams

Seniority

Mid-level, hands-on IC

Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.