- 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

- Solid Python skills for data analysis, including proficiency with Num Py, 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
- Strong 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 Tensor Flow; 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

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📌 Data Scientist IT & Data Development (Australia)
🏢 01.tech
📍 Australia