Crossing Hurdles

Data Scientist | $100/hr Remote | Mercor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position with a contract length of approximately 2 months, offering $100/hr. It requires strong experience in data science, proficiency in Python and Jupyter notebooks, and expertise in machine learning and statistical analysis. Remote work is available.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
December 3, 2025
πŸ•’ - Duration
1 to 3 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#Data Analysis #AI (Artificial Intelligence) #Data Wrangling #SciPy #Model Evaluation #TensorFlow #Pandas #Data Science #Jupyter #Python #NumPy #ML (Machine Learning) #Libraries #A/B Testing
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist Referral partner: Crossing Hurdles Type: Hourly Contract Compensation: $60-$100/hour Location: Remote Duration: Approximately 2 months (extension feasible) Commitment: 10-40 hours per week, fully asynchronous Role Responsibilities β€’ Focus on hands‑on data science tasks, such as designing experiments β€’ Gathering and pre-processing data β€’ Building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions β€’ Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications β€’ Have strong professional experience in data science or applied analytics. β€’ Skilled in Python and Jupyter notebooks. β€’ Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. β€’ Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process 1. Upload resume 1. AI interview based on your resume (15 min) 1. Submit form