Experienced data scientists support AI model improvement through dataset analysis, statistical modeling, and performance evaluation. This role involves analyzing datasets, developing statistical models, and conducting performance assessments. Key requirements include 3+ years of experience in data science, machine learning, or analytical roles.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job 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
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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
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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.
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