Formulate and test hypotheses, conduct applied research (R&D;), and develop data-driven solutions to product and business challenges Collect, validate, and clean data, and perform feature engineering to prepare datasets for machine learning Develop, train, validate, and fine-tune machine learning models Select appropriate evaluation metrics and validation strategies, assess model performance, and quantify the business impact of ML solutions Prepare models for production deployment and monitor their performance and reliability after release Requirements

Strong Python skills for data analysis, including proficiency with NumPy, Pandas, and Scikit-learn, and the ability to write clean, reproducible code Advanced SQL skills, including complex JOINs, window functions, aggregations, and query optimization In-depth understanding of classical machine learning algorithms, model evaluation metrics, and validation techniques Solid mathematical foundation in linear algebra, probability theory, and mathematical statistics Nice to have experience preparing ML models for production and a basic understanding of MLOps practices, including Docker, Git, CI/CD,



and ML pipelines; familiarity with deep learning frameworks such as PyTorch or TensorFlow; experience with distributed data processing using Spark / PySpark; experience programming in C/C++ The opportunity to work on large-scale products and contribute to their development A flexible work environment built on autonomy, ownership, and trust, without micromanagement The option to work fully remotely or from a modern office Medical insurance coverage in countries where the company operates An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities Partial reimbursement for professional training, courses, and participation in industry conferences Access to a corporate digital library Company-funded weekly online sessions with a psychologist Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval

📌 Data Scientist IT (Canberra)
🏢 01.tech
📍 Canberra