Data Science Lead - AU
Posted on:
September 30, 2025
Job description
About the role (What you’ll be doing)
As the Data Science Lead at Eucalyptus, you’ll lead the development and application of advanced analytics, machine learning, and AI solutions to drive strategic, commercial, and clinical outcomes. You’ll partner closely with Product, Engineering and the broader Data team, to solve high-impact problems, operationalise models, and embed data processes as a core part of the product offering.
Responsibilities
In this role, you’ll balance technical leadership and hands-on delivery — setting the vision for how data science is applied while also contributing to complex projects, from sophisticated personalised health insights, to extensive patient context management. You’ll ensure the team’s work is impactful, reliable, and aligned with organisational priorities.
- Lead high-impact data science projects: Own the scoping, design, and delivery of models and data context management pipelines that inform highly personalised systems in the technology roadmap.
- Guide technical direction: Define the standards, methodologies, and best practices for data science at Eucalyptus, ensuring work is reproducible, explainable, and production-ready.
- Collaborate cross-functionally: Partner with stakeholders across the business to translate ambiguous problems into well-defined data science projects with measurable value.
- Ensure robust operationalisation: Work with Data Engineering and ML Ops to deploy models, monitor performance, and integrate outputs into products, platforms, and workflows.
- Mentor and develop the team: Grow the skills and capabilities of data scientists and analysts through coaching, feedback, and technical guidance.
- Stay current: Keep up with established industry practices and emerging methodologies to ensure the team’s work remains effective and relevant.
Job requirements
About you (Who you are)
You’re an experienced data science leader with a proven ability to deliver technically sound, commercially valuable solutions. You balance strategic thinking with hands-on technical work, and you’re skilled at influencing both technical and non-technical audiences.
- 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, and model evaluation, and context management for AI systems.
- Experience in production environments, working closely with Data Engineering and ML Ops to deploy and monitor models.
- 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.
- Leadership experience in building, mentoring, and guiding high-performing data science teams.
- Passion for applying data and AI to deliver meaningful business and patient outcomes.
Apply now
When you apply, please mention you found the job on Aussie Intelligence. This encourages more tech companies to hire through our platform, creating more opportunities for you. Good luck with your application!
Apply now
