Crossing Hurdles

Data Analyst | $100/hr Remote | Mercor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position offering $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 States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
December 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 States
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🧠 - Skills detailed
#A/B Testing #Model Evaluation #PyTorch #TensorFlow #Libraries #Python #Computer Science #Pandas #Statistics #AI (Artificial Intelligence) #Datasets #Data Analysis #NumPy #ML (Machine Learning) #SciPy #Jupyter #Data Science
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the 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 Responsibilities: (Training support will be provided) • 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. • Analyse 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) • Upload resume • AI interview based on your resume (15 min) • Submit form