Data Science Expert | Upto $120/hr | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Expert, offering $80–$120/hour for a 1–2 month part-time contract (15–40 hours/week) remotely. Key skills include data science, machine learning, Python, and SQL, with a minimum of a Bachelor’s degree required.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date discovered
September 20, 2025
🕒 - Project duration
1 to 3 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Data Wrangling #AI (Artificial Intelligence) #Computer Science #Datasets #ML (Machine Learning) #PyTorch #Java #R #SQL (Structured Query Language) #TensorFlow #Scala #Data Quality #Statistics #Data Science #Python
Role description
Crossing Hurdles is a recruitment firm. We connect top candidates with leading AI research labs to help build and train advanced 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, flexible up to 40 hours/week Role Responsibilities (Training support will be provided) : • Review and refine AI-generated prompts, code snippets, and responses for technical accuracy and clarity. • Validate complex data science and machine learning concepts related to algorithmic evaluation and model benchmarking. • Provide structured, detailed feedback on solution quality, tagging content by topic and difficulty. • Support benchmarking efforts to assess the capabilities and limitations of AI models. • Collaborate asynchronously with AI teams to improve data quality and model performance. Qualifications : • Strong experience in data science, machine learning, or applied statistics (industry or research). • Bachelor’s degree minimum in Data Science, Statistics, Computer Science, Applied Math, or related quantitative field; advanced degree preferred. • Proficiency in Python and SQL; familiarity with R, Java, or Scala a plus. • Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. • Skilled in statistical analysis, feature engineering, and data wrangling on large datasets. Application Process : • Submit your resume via Mercor’s platform. • Complete a brief 15-minute AI interview assessing your background and interest. • Receive follow-up communication within a few days regarding next steps and onboarding. This role offers a competitive rate aligned with industry standards and the opportunity to shape the future of AI-driven intelligent systems.