Freelance Data Science Engineer (Remote)

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 real-world 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 and database operations 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 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 simulate analytical workflows.
• Create problems that require Python programming to solve, ensuring computational intensity.
• Develop problems that involve complex reasoning in data processing and predictive modeling.
• Ensure problems are based on real business challenges, covering areas like customer analytics and risk assessment.
• Document problem statements with clear business contexts and provide verified solutions.