Freelance Data Scientist (Remote, AI Industry)

Job summary

This role involves contributing to project-based AI opportunities by designing and developing computational data science problems that reflect real-world analytical workflows across various industries. Contributors will engage in tasks that require advanced Python programming and statistical analysis to create deterministic problems 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 capabilities.
• Proficient in Python for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.
• Strong expertise in statistical analysis and machine learning, with a deep understanding of algorithms and their applications.
• Skilled in SQL for data manipulation and analysis.
• Familiarity with GenAI technologies, including LLMs and prompt engineering.
• Knowledge of MLOps practices and model deployment workflows.
• Experience with modern frameworks like TensorFlow and PyTorch.
• Excellent written English proficiency (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require approximately 10–20 hours per week during active project phases.

Compensation

Contributors can earn up to $58 per hour, depending on their expertise and contribution level.

• Design original computational data science problems that simulate analytical workflows.
• Create Python-based problems that require complex reasoning and cannot be solved manually.
• Develop end-to-end problems covering the entire data science pipeline.
• Incorporate big data processing scenarios into problem design.
• Document problem statements clearly with realistic business contexts and provide verified solutions.