Data Scientist IT & Data Development

01.tech; Australia; Remote; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Benefits allowance

Health insurance

Training reimbursement

Digital library

Psychologist sessions

Relocation assistance

Remote work option

Job summary

01.tech is seeking a data science professional to formulate hypotheses, build ML models, and drive data-driven solutions across product and business challenges. You will clean and prepare data, engineer features, and evaluate models for production deployment, with emphasis on monitoring performance and impact.

A strong math foundation and Python/SQL mastery are required, plus exposure to MLOps tools and distributed processing.

Qualifications

• Strong Python skills with NumPy, Pandas and Scikit-learn.
• Advanced SQL with complex JOINs and window functions.
• Solid understanding of ML algorithms and evaluation metrics.
• Strong math background in linear algebra and statistics.
• Experience with ML production, Docker, Git and CI/CD; PyTorch/TF familiarity.

Responsibilities

• Formulate and test hypotheses and develop data-driven solutions.
• Collect, validate, clean data and perform feature engineering.
• Develop, train, validate, and fine-tune ML models.
• Select evaluation metrics and validation strategies and quantify business impact.
• Prepare models for production and monitor performance after release.

Skills

Python

Advanced SQL

ML algorithms

Model evaluation

Mathematics

MLOps basics

PyTorch

TensorFlow

C/C++

Docker

Git

CI/CD

Tools

Docker

Git

CI/CD

PyTorch

TensorFlow

Spark / PySpark

Job description

• 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
• 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 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