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 sectors. Contributors will engage in creating and verifying complex problems requiring Python programming and statistical analysis.

Qualifications

• Over 5 years of practical data science experience with demonstrable business impact.
• A portfolio showcasing completed projects and publications related to real-world problem-solving.
• Proficient 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.
• Knowledge of MLOps practices and model deployment workflows.
• Experience with modern frameworks like TensorFlow and PyTorch.
• Strong 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 pace.

• Design original data science problems that simulate analytical workflows across various industries.
• Create computationally intensive problems solvable only through programming.
• Develop problems that require complex reasoning in data processing and predictive modeling.
• Ensure problems are deterministic with reproducible answers.
• Base problems on real business challenges such as customer analytics and risk assessment.
• Document problem statements and provide verified solutions.