Crossing Hurdles

Data Science Expert | Upto $120/hr | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Expert on a part-time, hourly contract (1-2 months) with a pay rate of $80–$120/hour, remote work. Key skills include strong data science experience, proficiency in Python and SQL, and machine learning model deployment.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
October 4, 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
#Computer Science #AI (Artificial Intelligence) #TensorFlow #Mathematics #R #Data Wrangling #PyTorch #Data Science #ML (Machine Learning) #Statistics #Scala #Python #Datasets #Java #SQL (Structured Query Language)
Role description
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models. Position: Data Science Expert Type: Hourly Contract Compensation: $80–$120/hour Location: Remote Duration: 1–2 months Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week) Role Responsibilities (Training support will be provided): • Review and refine AI-generated prompts, responses, and code. • Validate concepts for technical accuracy. • Provide structured feedback on solution quality and clarity. • Tag and organize content by topic and difficulty. • Support benchmarking efforts to assess model capabilities. Requirements: • Strong experience in data science, machine learning, or applied statistics (industry or research). • Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field (Bachelor’s minimum; advanced degree preferred). • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus. • Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch. • Experience with statistical analysis, data wrangling, and feature engineering on large datasets. Application Process (Takes ~20 minutes): 1. Upload resume. 1. AI interview based on your resume (15 minutes). 1. Submit the form.