

North Star Staffing
Data Science Specialist (Remote)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Specialist (Remote) with a contract length of flexible hours, paying USD 50-90 per hour. Requires 3+ years of experience in data science, strong Python skills, and expertise in statistical analysis and machine learning.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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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
-
🧠 - Skills detailed
#Data Science #"ETL (Extract #Transform #Load)" #NumPy #Pandas #Model Validation #ML (Machine Learning) #Python #Data Processing #A/B Testing #Libraries #Data Quality #Datasets #Version Control #AI (Artificial Intelligence) #Visualization
Role description
• Role: Data Science Specialist (Remote)
• Location: 100% Remote (Global)
• Compensation: USD 50-90 per hour
Experienced data scientists support AI model improvement through dataset analysis, statistical modeling, and performance evaluation. This flexible remote contract applies 3+ years of analytical expertise to research initiatives focused on enhancing intelligent system capabilities.
Key Responsibilities
• Analyze datasets to extract insights informing AI model design and refinement
• Develop statistical models, machine learning techniques, and evaluation frameworks
• Conduct performance assessments and data quality reviews on model outputs
• Build reusable tools for data processing, visualization, and standardized reporting
Essential Qualifications
• 3+ years experience in data science, machine learning, or analytical roles
• Strong Python proficiency with pandas, NumPy, scikit-learn libraries
• Experience with large-scale data environments and version control workflows
• Advanced statistical analysis, experimental design, and model validation skills
Project Benefits
• Fully remote with self-managed scheduling (10+ hours/week commitment)
• Exposure to cutting-edge AI research and experimentation
• Competitive hourly rates reflecting expertise level
• Weekly international payments with no client data confidentiality requirements
Ideal Background
• Data scientists with production ML experience
• Analysts skilled in experimental design and A/B testing
• Professionals comfortable with large-scale data processing pipelines
• Technical team collaborators with clear written communication
Equal Opportunity
All qualified data science professionals considered regardless of protected characteristics. Selection based purely on technical expertise and analytical capabilities.
• Role: Data Science Specialist (Remote)
• Location: 100% Remote (Global)
• Compensation: USD 50-90 per hour
Experienced data scientists support AI model improvement through dataset analysis, statistical modeling, and performance evaluation. This flexible remote contract applies 3+ years of analytical expertise to research initiatives focused on enhancing intelligent system capabilities.
Key Responsibilities
• Analyze datasets to extract insights informing AI model design and refinement
• Develop statistical models, machine learning techniques, and evaluation frameworks
• Conduct performance assessments and data quality reviews on model outputs
• Build reusable tools for data processing, visualization, and standardized reporting
Essential Qualifications
• 3+ years experience in data science, machine learning, or analytical roles
• Strong Python proficiency with pandas, NumPy, scikit-learn libraries
• Experience with large-scale data environments and version control workflows
• Advanced statistical analysis, experimental design, and model validation skills
Project Benefits
• Fully remote with self-managed scheduling (10+ hours/week commitment)
• Exposure to cutting-edge AI research and experimentation
• Competitive hourly rates reflecting expertise level
• Weekly international payments with no client data confidentiality requirements
Ideal Background
• Data scientists with production ML experience
• Analysts skilled in experimental design and A/B testing
• Professionals comfortable with large-scale data processing pipelines
• Technical team collaborators with clear written communication
Equal Opportunity
All qualified data science professionals considered regardless of protected characteristics. Selection based purely on technical expertise and analytical capabilities.






