Tech Stack

Description

You will support hipages by designing and deploying machine learning applications, analyzing data to shape the product experience, and discovering insights that drive growth. You'll collaborate cross-functionally and experiment with new products and packages.

Requirements

• Qualifications in Data Science, Statistics, Actuarial Studies or related quantitative field
• Hands-on experience with A/B testing for SaaS products
• Experience in classical machine learning
• Advanced proficiency in Python and strong SQL skills
• Experience working with enterprise data warehouses

Responsibilities

• Design, implement, launch and measure experiments to test new products and packages
• Analyse data, trends, and results, translating into business impact and product recommendations
• Analyse the acquisition funnel to uncover insights for jobs and tradie growth
• Support segmentation strategies for a customised consumer experience
• Identify commercial opportunities using AI/ML and complex data assets