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Data Analyst | $100/hr Remote

Crossing Hurdles
Department:Data Engineer
Type:REMOTE
Region:Australia
Location:Australia
Experience:Mid-Senior level
Salary:A$124,800 - A$208,000
Skills:
PYTHONJUPYTER NOTEBOOKSTENSORFLOWPYTORCHNUMPYPANDASSCIPYSYMPYSCIKIT-LEARNMACHINE LEARNINGDATA ANALYSISSTATISTICAL INFERENCEFEATURE ENGINEERINGDATA PREPROCESSINGA/B TESTINGCAUSAL INFERENCE
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Job Description

Posted on: November 6, 2025

At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.

Position: Exceptional Data Scientists

Referral Partner: Crossing Hurdles

Type: Hourly contract

Compensation: $60–$100 per hour

Location: Remote

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: (Takes 20 min)

  1. Upload resume
  2. AI interview based on your resume (15 min)
  3. Submit form
Originally posted on LinkedIn

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