[Hiring] Freelance Data Scientist (Python & SQL) - AI Trainer @Mindrift

Role Description

This role involves collaborating on AI projects as a Data Science AI Trainer, focusing on improving GenAI models to address specialized questions and achieve complex reasoning skills.

• Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).
• Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
• Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
• Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.
• Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
• Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
• Incorporate big data processing scenarios requiring scalable computational approaches.
• Verify solutions using Python with standard data science libraries and statistical methods.
• Document problem statements clearly with realistic business contexts and provide verified correct answers.

Qualifications

• Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
• At least 5 years of hands-on data science experience with proven business impact.
• Portfolio of completed projects and publications showcasing real-world problem-solving.
• Proficient in Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
• Expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
• Proficient in SQL and database operations for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Good understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
• Advanced level of English (C1) or above.
• Ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.

Benefits

• Get paid for your expertise, with rates that can go up to $34/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.