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.
- Robust 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
Referrals increase your chances of interviewing at Crossing Hurdles by 2x.
#J-18808-Ljbffr
📌 Data Analyst | $100/hr Remote (Australia)
🏢 Crossing Hurdles
📍 Australia
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.