Data Science Lead (AI)

TL;DR

Data Science Lead (AI): Leading the development and application of advanced analytics, machine learning, and AI solutions to drive strategic, commercial, and clinical outcomes with an accent on operationalising models and embedding data processes into product offerings. Focus on setting the vision for data science application, contributing to complex projects like personalised health insights, and ensuring impactful, reliable, and aligned team work.

Location: Hybrid in New South Wales, Australia

Company

hirify.global is a digital healthcare company behind a growing family of clinics across men’s health, well-being, fertility, skincare, and preventative health, aiming to support 1 million patients globally.

What you will do

• Lead high-impact data science projects, owning scoping, design, and delivery of models and data context management pipelines.
• Guide technical direction, defining standards, methodologies, and best practices for data science.
• Collaborate cross-functionally to translate ambiguous problems into well-defined data science projects.
• Ensure robust operationalisation by working with Data Engineering and ML Ops to deploy and monitor models.
• Mentor and develop the data science team through coaching, feedback, and technical guidance.
• Stay current with established industry practices and emerging methodologies to maintain team effectiveness.

Requirements

• 7+ years of experience in data science, machine learning, or advanced analytics, with at least 2 years in a leadership role.
• Proven track record of delivering models and analytics that have driven measurable business or product outcomes.
• Strong technical foundation in statistical analysis, machine learning, feature engineering, model evaluation, and context management for AI systems.
• Experience in production environments, working closely with Data Engineering and ML Ops.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Hands-on expertise in SQL, Python, and modern ML/analytics libraries.
• Familiarity with cloud environments (preferably Google Cloud) and tools like BigQuery, Vertex AI, and dbt.

Culture & Benefits

• Mentorship from leaders across Australia, the UK, Germany, and Japan, and collaboration with international teams.
• Access to learning budgets, conferences, certifications, peer shadowing, and a global knowledge-sharing culture.
• Equity for all employees, allowing you to share in the company’s success.
• Focus on well-being with catered wellness talks, exercise classes, free barista coffees, and funded social clubs.
• Benefit from parental and miscarriage leave, health, professional development, and personal days.