Senior Data Scientist (Part-Time | Remote US | $80 –$120/hr)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Part-Time, Remote US) with a pay rate of $80–$120/hr. Requires 3+ years in data science, proficiency in Python and SQL, and experience with ML model deployment. Contract duration is 1–2 months.
🌎 - Country
United States
💱 - 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
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Wrangling #AI (Artificial Intelligence) #Datasets #Computer Science #ML (Machine Learning) #PyTorch #Java #R #SQL (Structured Query Language) #TensorFlow #Scala #Statistics #Data Science #Python #Mathematics
Role description
Data Science Expert Hourly Contract Part-Time | Remote (U.S.) | $80 –$120/hour About the Role A leading AI research lab is hiring Data Science Experts to support high-impact projects focused on code validation, prompt refinement, algorithmic evaluation, and model benchmarking. In this role, you’ll apply your expertise to improve the accuracy, reliability, and performance of advanced AI systems. This is a unique opportunity to apply your technical skills toward shaping the next generation of intelligent systems. Key Responsibilities • Review and refine AI-generated prompts, responses, and code. • Validate technical concepts for accuracy and consistency. • Provide structured feedback on solution quality and clarity. • Tag, categorize, and organize content by topic and difficulty. • Support benchmarking workflows to assess AI model capabilities. Qualifications • 3+ years of experience in data science, machine learning, or applied statistics (industry or research). • Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or 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 ML models using scikit-learn, TensorFlow, or PyTorch. • Skilled in statistical analysis, data wrangling, and feature engineering on large datasets. Project Details • Start Date: Immediate. • Duration: 1–2 months (with extension potential). • Commitment: 15–25 hours/week, flexible up to 40. • Schedule: Fully remote and asynchronous — work on your own time. Compensation & Contract • Rate: $80–$120/hour (USD), based on experience. • Independent contractor engagement. • Daily payments via Stripe Connect. Application Process 1. Upload your resume. 1. Complete a short AI-led interview (15 minutes). 1. Receive follow-up within a few days with onboarding details.