Freelance Data Science Engineer (Remote)

Job summary

This role involves designing and developing computational data science problems for Generative AI projects, focusing on real-world applications across various industries. The position is fully remote and allows for flexible scheduling.

Qualifications

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Minimum of 5 years of practical data science experience with demonstrable business impact.
• Portfolio showcasing completed projects and publications.
• Advanced proficiency in Python for data science (including libraries such as pandas, numpy, scipy, scikit-learn, statsmodels).
• Expertise in statistical analysis and machine learning methodologies.
• Proficient in SQL for data manipulation and analysis.
• Familiarity with Generative AI technologies and MLOps practices.
• Advanced English proficiency (C1 or above).

Responsibilities

• Create original data science problems that reflect real-world analytical workflows.
• Develop computationally intensive problems requiring Python programming.
• Ensure problems necessitate complex reasoning in data processing and analysis.
• Design end-to-end data science problems covering the entire pipeline.
• Document problem statements with realistic business contexts and provide verified solutions.

Skills

Compensation

Earn up to $58 per hour, with variations based on project scope and complexity. This freelance role offers the flexibility to work part-time while contributing to innovative AI projects.

• Strong understanding of statistical analysis and machine learning algorithms.
• Experience with big data processing and scalable computational approaches.
• Knowledge of modern frameworks such as TensorFlow and PyTorch.
• Ability to quickly adapt to new methods and manage complex guidelines.