Data Scientist, AI

Description:

• Experimentation: Collaborate with engineers and product teams to design, implement, and analyze online A/B tests to measure product impact.
• Analytics & Reporting: Design dashboards, run analyses, and provide clear reporting to inform product and research decisions.
• Model Fine-Tuning: Gain hands-on experience with large language models by applying fine-tuning techniques (e.g., supervised fine-tuning, parameter-efficient methods) to improve model performance in healthcare-specific tasks.
• Model Deployment: Support the engineering team in deploying models into production environments, ensuring scalability, reliability, and integration with our clinical workflows.
• Model Personalisation: Explore approaches for adapting models to specific user needs, such as personalization, domain adaptation, and context-aware inference to enhance clinician productivity and patient care.
• Collaboration: Partner with data, engineering, product, and medical knowledge teams to align data and model work with Heidi’s mission in healthcare AI.
• Continuous Learning: Stay up-to-date with emerging AI and ML research, and grow your expertise from data-focused tasks to advanced model science.

Requirements:

• A background as a Data Scientist (or similar role) with strong skills in Python, SQL, and modern data tooling.
• Demonstrated experience in data analysis, experimentation (A/B testing), and building dashboards or reporting systems.
• Solid programming and software engineering skills: ability to write clean, efficient, and maintainable code that can scale into production systems.
• Good understanding of large language models (LLMs) and transformer architectures—you know how they work under the hood and are motivated to deepen this knowledge further.
• An interest and motivation to deepen technical expertise in AI/ML—particularly in areas like model fine-tuning, deployment, and personalization.
• A solid foundation in statistics, probability, and data-driven decision-making.
• Strong problem-solving skills with the ability to move from vague questions to well-structured experiments and insights.
• Curiosity, adaptability, and a growth mindset: you’re eager to bridge the gap between data science and AI engineering.
• Currently a Data Scientist in Australia or New Zealand (role targets candidates in Australia/New Zealand).
• Application asks for Work Authorization Status (Citizen, Visa Holder, Permanent Resident) and whether sponsorship will be required.

Benefits:

• Flexible hybrid working environment, with 3 days in the office.
• Additional paid day off for your birthday and wellness days
• Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc.
• A generous personal development budget of $500 per annum
• Learn from some of the best engineers and creatives, joining a diverse team
• Become an owner, with shares (equity) in the company
• The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
• If you have an impact quickly, the opportunity to fast track your startup career