Freelance Data Scientist (Python & SQL) – AI Trainer

About the role

We are looking for an experienced Data Scientist to join our network of freelance AI trainers. You will design realistic, end‑to‑end data‑science problems that help leading tech companies evaluate and improve their AI systems.

Key responsibilities

• Design original computational problems that simulate real‑world analytical workflows across sectors such as telecom, finance, e‑commerce, and healthcare.
• Create Python‑based tasks using Pandas, NumPy, SciPy, scikit‑learn, StatsModels, Matplotlib and Seaborn.
• Ensure problems are computationally intensive, deterministic, and reproducible.
• Incorporate big‑data processing, feature engineering, predictive modeling, and deployment considerations.
• Validate solutions with standard statistical methods and document problem statements with realistic business contexts.

Required profile

• 5+ years of hands‑on data‑science experience with measurable business impact.
• Strong portfolio of completed projects or publications.
• Excellent written English (C1+).

Required skills

• Python programming (Pandas, NumPy, SciPy, scikit‑learn, StatsModels, Matplotlib, Seaborn).
• SQL for data manipulation and analysis.
• Advanced statistical analysis and machine‑learning techniques.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Understanding of MLOps practices and model deployment workflows.
• Familiarity with TensorFlow, PyTorch and LangChain.

What we offer

• Project‑based freelance contracts with flexible hours (10‑20 h/week during active phases).
• Compensation up to $58 per hour, depending on expertise and pace.
• Opportunity to work remotely on cutting‑edge AI evaluation projects for leading tech companies.