Freelance Data Science AI Trainer (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 quantitative field.
• Minimum of 5 years of practical data science experience with demonstrable business impact.
• Portfolio of completed projects and publications that showcase problem-solving capabilities.
• Advanced proficiency in Python for data science, including libraries such as pandas, numpy, scipy, and scikit-learn.
• 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, RAG, and prompt engineering.
• Understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks like TensorFlow, PyTorch, and LangChain.
• Advanced English proficiency (C1 or above).

Responsibilities

• Design original computational problems that reflect real-world analytical workflows.
• Create Python-based problems that require complex reasoning and cannot be solved manually in a short time.
• Develop end-to-end data science problems covering the complete data pipeline.
• Incorporate big data processing scenarios into problem design.
• Verify solutions using Python and document problem statements with realistic business contexts.

Skills

• Strong programming skills in Python and SQL.
• Expertise in statistical analysis and machine learning methodologies.
• Ability to create deterministic problems with reproducible answers.
• Capability to work with complex guidelines and adapt to new methods quickly.

Education

• Master’s or PhD Degree in a relevant field.

Tools

• Python (pandas, numpy, scipy, scikit-learn, statsmodels).
• SQL for database operations.
• Familiarity with GenAI technologies and frameworks like TensorFlow and PyTorch.