Crossing Hurdles
Data Science Experts | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Expert on an hourly contract, offering $80–$120/hr for 15–25 hours/week, remotely for 1–2 months. Requires expertise in data science, machine learning, Python, SQL, and strong analytical skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
December 31, 2025
🕒 - Duration
1 to 3 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Mathematics #Statistics #Data Wrangling #AI (Artificial Intelligence) #Computer Science #ML (Machine Learning) #SQL (Structured Query Language) #Data Science #Python
Role description
Position: Data Science Expert
Type: Hourly contract
Compensation: $80–$120/hr
Location: Remote
Commitment: 15–25 hours/week (flexible up to 40 hours/week)
Duration: 1–2 months
Role Responsibilities
• Review and refine AI-generated prompts, responses, and code
• Validate technical concepts for correctness and robustness
• Provide structured feedback on solution quality, clarity, and reasoning
• Tag and organize content by topic, difficulty, and use case
• Support benchmarking and evaluation efforts to assess model capabilities
Requirements
• Professional experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• Strong proficiency in Python and SQL
• Hands-on experience with machine learning model development and evaluation
• Solid background in statistical analysis, data wrangling, and feature engineering
• High attention to detail and strong written communication skills
Application Process
• Upload resume
• 15 min interview
• Submit form
Position: Data Science Expert
Type: Hourly contract
Compensation: $80–$120/hr
Location: Remote
Commitment: 15–25 hours/week (flexible up to 40 hours/week)
Duration: 1–2 months
Role Responsibilities
• Review and refine AI-generated prompts, responses, and code
• Validate technical concepts for correctness and robustness
• Provide structured feedback on solution quality, clarity, and reasoning
• Tag and organize content by topic, difficulty, and use case
• Support benchmarking and evaluation efforts to assess model capabilities
Requirements
• Professional experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• Strong proficiency in Python and SQL
• Hands-on experience with machine learning model development and evaluation
• Solid background in statistical analysis, data wrangling, and feature engineering
• High attention to detail and strong written communication skills
Application Process
• Upload resume
• 15 min interview
• Submit form
