Freelance Data Science Engineer (Remote)

Job summary

This role involves engaging in project-based opportunities focused on developing computational data science problems for various industries, including telecom, finance, and healthcare. Contributors will design and implement analytical workflows that require advanced programming and statistical skills.

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, 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 phases of the project.

Compensation

Earn up to $58 per hour, depending on experience and contribution pace, with variations based on project scope and complexity.

• Design original computational data science problems that simulate real-world analytical workflows.
• Create problems that require Python programming to solve, ensuring they are computationally intensive.
• Develop problems that involve complex reasoning in data processing, statistical analysis, and predictive modeling.
• Ensure problems are deterministic with reproducible answers based on real business challenges.
• Document problem statements clearly and provide verified correct answers.