Data Scientist

📊 We’re Hiring: Data Scientist

📍 Location: Remote (Australia)

🕒 Employment Type: Full-Time

💼 Level: Mid-Level / Experienced

We are seeking a highly analytical and innovative Data Scientist to join our remote team. In this role, you will transform complex datasets into meaningful insights, develop predictive models, and support strategic decisions across multiple business areas.

🎯 Key Responsibilities

• Analyze large and complex datasets to uncover trends, patterns, and opportunities
• Build, test, and deploy machine learning models for forecasting, classification, and optimization
• Partner with product, engineering, marketing, and operations teams to translate business needs into data-driven solutions
• Design experiments, evaluate results, and provide recommendations
• Create dashboards, visualizations, and reports to communicate insights effectively
• Maintain model performance and improve accuracy through continuous iteration
• Ensure data quality, integrity, and consistency across analytics workflows

✅ Requirements

• 2–5 years of experience in data science, quantitative analysis, or machine learning
• Strong programming skills in Python or R, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
• Proficiency in SQL and working with relational or cloud-based databases
• Solid knowledge of statistics, probability, and experimental design
• Experience with visualization tools (Tableau, Power BI, or equivalent)
• Strong communication skills and the ability to present data insights clearly
• Ability to work independently in a fully remote team
• Must be based in Australia with full working rights

Nice to Have

• Experience with AWS/GCP/Azure
• Knowledge of NLP, deep learning, or time-series modelling
• Familiarity with big data tools (Spark, Databricks)
• Experience deploying ML models into production environments

🌟 What We Offer

• Fully remote position anywhere in Australia
• Opportunity to work on impactful real-world ML and analytics challenges
• Access to modern data infrastructure and cloud technologies
• Collaborative, supportive, and innovative team culture
• Competitive salary, benefits, and flexible hours
• Professional development and learning opportunities