Duration: Minimum 1 month, with potential extension based on project scope and performance
Commitment: 10-40 hours/week, flexible and asynchronous
Role Responsibilities
Design experiments, gather and preprocess data, build and evaluate models.
Collaborate closely with engineering teams to deploy production-ready solutions.
Write, review, and validate prompt-based questions used to train AI systems.
Work proficiently in Python and Jupyter Notebooks.
Utilize machine learning frameworks like TensorFlow or PyTorch.
Analyze large datasets and build predictive models.
Requirements
Strong professional experience in data science or applied analytics.
Highly skilled in Python and Jupyter Notebooks.
Experience with libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
Bachelor’s degree in data science, statistics, computer science, or related field.
Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, A/B testing, and causal inference.
Excellent verbal and written communication skills.
Strong attention to detail.
Application Process
Upload resume
AI interview based on your resume (15 min)
Seniority Level
Mid-Senior level
Employment Type
Contract
Job Function
Research
Industries
IT System Data Services
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Data Analyst | $100/hr Remote • Newcastle City Council, New South Wales, AU