Freelance Data Science Engineer (Remote, AI Projects)

Job summary

This role involves engaging in project-based opportunities focused on designing and solving complex data science problems for various industries, including telecom, finance, and healthcare. Contributors will work on tasks that simulate real-world analytical workflows and require advanced programming skills in Python and SQL.

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, and Scikit-learn.
• Strong expertise in statistical analysis and machine learning, with a deep understanding of algorithms and their applications.
• Advanced SQL skills 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 10–20 hours per week during active project phases, subject to project needs.

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 computational data science problems that reflect real-world scenarios.
• Create Python-based solutions for complex analytical tasks.
• Ensure problems are computationally intensive and require advanced reasoning.
• Develop end-to-end data science problems covering the entire pipeline from data ingestion to deployment.
• Incorporate big data processing techniques and scalable approaches.
• Document problem statements with clear business contexts and provide verified solutions.