Freelance Data Scientist (Remote, AI Projects)

Job summary

This role involves working on project-based AI opportunities, focusing on designing and evaluating computational data science problems across various industries. Contributors will engage in tasks that simulate real-world analytical workflows and require advanced programming skills in Python and SQL.

Qualifications

• Over 5 years of practical experience in data science 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 phases of the project.

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 scenarios.
• Create problems that necessitate Python programming to solve, ensuring they are computationally intensive.
• Develop problems that require complex reasoning in data processing and statistical analysis.
• Ensure problems yield deterministic results and are based on actual business challenges.
• Document problem statements with clear business contexts and provide verified solutions.