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

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a part-time Data Scientist position, remote in the U.S., offering $80–$120/hr. Requires 3+ years in data science, proficiency in Python and SQL, and experience with machine learning frameworks. Commitment is 15–25 hours/week for 1–2 months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date discovered
September 13, 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
#Computer Science #R #Statistics #Data Wrangling #PyTorch #TensorFlow #Python #SQL (Structured Query Language) #Java #Mathematics #ML (Machine Learning) #AI (Artificial Intelligence) #Data Science #Datasets #Scala
Role description
Job Title: Data Science Expert Employment Type: Hourly Contract (Part-Time, Remote) Location: United States (remote) Compensation: $80–$120 per hour About the Role A leading AI research initiative is seeking Data Science Experts to support high-impact projects focused on improving the performance, reliability, and accuracy of advanced AI systems. This role offers the opportunity to apply your technical expertise to tasks such as code validation, prompt refinement, algorithmic evaluation, and model benchmarking, directly shaping the next generation of intelligent systems. Key Responsibilities • Review and refine AI-generated prompts, responses, and code. • Validate concepts and solutions for technical accuracy. • Provide structured feedback on solution quality and clarity. • Tag and organize content by topic, domain, and difficulty level. • Support benchmarking workflows to assess model performance. Ideal 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 field (Bachelor’s required; advanced degree preferred). • 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. • Strong background in statistical analysis, data wrangling, and feature engineering with large datasets. Project Timeline • Start Date: Immediate. • Duration: 1–2 months, with potential for extension. • Commitment: 15–25 hours/week (flexible, up to 40 hours/week). • Schedule: Fully remote, asynchronous, flexible working hours. Compensation & Contract • Hourly rate: $80–$120 USD/hour (based on experience). • Independent contractor engagement. • Payments processed daily via Stripe Connect. Application & Onboarding Process 1. Submit your resume for review. 1. Complete a short AI-powered interview (approx. 15 minutes). 1. Receive follow-up communication within a few days regarding next steps and onboarding.