Freelance Data Science Engineer (Remote)

Job summary

This role involves participating in project-based opportunities focused on designing and solving computational data science problems for various industries, including telecom, finance, and healthcare. Contributors will create complex problems requiring Python programming and statistical analysis, ensuring that solutions are computationally intensive and reproducible.

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 skills.
• Proficiency 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.
• Understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks like TensorFlow and PyTorch.
• Strong written English skills (C1+).

Responsibilities

Project time expectations

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

Compensation

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

• Design original computational data science problems that simulate real-world analytical workflows.
• Develop problems that require non-trivial reasoning chains in data processing and predictive modeling.
• Create end-to-end problems covering the complete data science pipeline.
• Ensure problems are based on real business challenges and incorporate big data processing scenarios.
• Document problem statements clearly and provide verified correct answers.