

Crossing Hurdles
Data Analyst | $100/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position offering $60–$100/hr for a minimum of 1 month, remote work. Key skills include Python, Jupyter Notebooks, and machine learning frameworks. A Bachelor’s degree in a related field and strong data science experience are required.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
-
💰 - Day rate
800
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🗓️ - Date
November 6, 2025
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Datasets #Jupyter #Python #AI (Artificial Intelligence) #Statistics #TensorFlow #Data Analysis #PyTorch #A/B Testing #SciPy #NumPy #Pandas #Data Science #Computer Science #ML (Machine Learning) #Libraries #Model Evaluation
Role description
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
1. AI interview based on your resume (15 min)
1. Submit form
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
1. AI interview based on your resume (15 min)
1. Submit form






