Freelance Data Scientist (Remote, AI Industry)

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 problems that require Python programming and ensure they are computationally intensive and based on actual business challenges.

Qualifications

• Over 5 years of practical data science experience with demonstrable business impact.
• A portfolio showcasing completed projects and publications that highlight problem-solving skills.
• Proficiency in Python for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.
• Strong background in statistical analysis and machine learning, with a deep understanding of algorithms and their applications.
• Expertise in SQL for data manipulation and analysis.
• Familiarity with GenAI technologies, including LLMs and prompt engineering.
• Understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks like TensorFlow and PyTorch.
• Strong written English skills (C1+).

Responsibilities

Project time expectations

Compensation

• Design original computational problems that simulate analytical workflows.
• Create Python-based problems that are computationally intensive and require complex reasoning.
• Develop end-to-end problems covering the entire data science pipeline.
• Incorporate big data processing scenarios into problem design.
• Document problem statements with realistic business contexts and provide verified solutions.
• Estimated workload of 10–20 hours per week during active project phases.
• Earnings of up to $58 per hour, depending on experience and contribution pace.