Data Science Specialist (Remote)

nexus consulting • Saudi Arabia
Remote
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AI Summary

Analyze datasets to extract insights, develop statistical models, and conduct performance assessments. 3+ years of analytical expertise required. Fully remote with self-managed scheduling.

Key Highlights
Data analysis
Statistical modeling
Performance evaluation
Key Responsibilities
Analyze datasets to extract insights
Develop statistical models
Conduct performance assessments
Technical Skills Required
Python pandas NumPy scikit-learn
Benefits & Perks
Fully remote
Self-managed scheduling
Competitive hourly rates

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


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.


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