Freelance Data Science Engineer (Remote)

Job summary

This role involves working on project-based data science tasks for various industries, focusing on the design and implementation of computational problems that reflect real-world analytical workflows.

Qualifications

• Over 5 years of practical data science experience with demonstrable business impact.
• A portfolio showcasing completed projects and publications that highlight problem-solving skills.
• 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.
• Proficient in SQL 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

Compensation

• Design computational data science problems that simulate real-world scenarios across various sectors.
• Develop problems that require Python programming to solve, ensuring they are computationally intensive.
• Create deterministic problems based on actual business challenges, covering areas such as customer analytics and fraud detection.
• Design end-to-end problems that encompass the entire data science pipeline.
• Incorporate big data processing scenarios into problem designs.
• Document problem statements clearly, providing realistic business contexts and verified correct answers.
• Estimated workload is around 10–20 hours per week during active project phases.
• Earnings can reach up to $58 per hour, depending on experience and contribution pace.