Data Scientist (Freelance, Remote)

Job summary

This role involves contributing to project-based AI opportunities by designing computational data science problems that reflect real-world analytical workflows across various industries. Contributors will create complex problems requiring Python programming and ensure they are computationally intensive and reproducible.

Qualifications

• Over 5 years of practical data science experience with demonstrable business impact
• Portfolio showcasing completed projects and publications
• Proficient in Python for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
• Strong background in statistical analysis and machine learning
• Expertise in SQL for data manipulation and analysis
• Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
• Understanding of MLOps practices and model deployment workflows
• Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
• Strong written English proficiency (C1+)

Responsibilities

Compensation

Contributors can earn up to $58 per hour, depending on their expertise and contribution pace. Project time expectations are around 10–20 hours per week during active phases.

• Design original computational data science problems
• Create problems requiring Python programming to solve
• Ensure problems are computationally intensive and require non-trivial reasoning
• Develop end-to-end problems across the data science pipeline
• Incorporate big data processing scenarios
• Document problem statements with realistic business contexts