Freelance Data Science Engineer (Remote)

Job summary

This role involves working on project-based data science tasks for various industries, focusing on creating computational problems that simulate real-world analytical workflows. Contributors will engage in designing, developing, and documenting data science problems that require advanced programming and statistical analysis skills.

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, 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 skills (C1+).

Responsibilities

Project time expectations

Tasks are estimated to require approximately 10–20 hours per week during active project phases, subject to project requirements.

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 business challenges across various sectors.
• Create problems that require Python programming and ensure they are computationally intensive.
• Develop end-to-end data science problems covering the entire pipeline from data ingestion to deployment.
• Document problem statements with clear business contexts and provide verified solutions.