Freelance Data Scientist (Remote, AI Projects)

Job summary

This role involves participating in project-based opportunities focused on designing and evaluating AI systems across various industries. Contributors will create computational data science problems that simulate real-world analytical workflows.

Qualifications

• Over 5 years of practical data science experience with demonstrable business impact.
• A portfolio showcasing completed projects and publications relevant to real-world problem-solving.
• 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 pace, with variations based on project scope and complexity.

• Design original computational data science problems that reflect real-world analytical challenges.
• Create problems that require Python programming to solve, ensuring they are computationally intensive.
• Develop problems that necessitate complex reasoning in data processing and statistical analysis.
• Ensure problems are deterministic and based on actual business challenges.
• Document problem statements clearly and provide verified solutions.