Data Scientist, AI

Heidi Health

full-time

Posted on: 9/24/2025

Origin: • 🇦🇺 Australia

✨ AI Apply

Mid-LevelSenior

PythonSQL

About the role

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.

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.