Data Scientist (Python & SQL) - Freelance AI Trainer

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

• 5+ years of hands-on data science experience with proven business impact
• Portfolio of completed projects and publications showcasing real-world problem-solving
• Expert Python programming skills for data science using pandas, numpy, scipy, scikit-learn, and statsmodels
• Expert statistical analysis and machine learning knowledge with deep understanding of algorithms and practical applications
• Expert proficiency with SQL and database operations for data manipulation and analysis
• Experience with GenAI technologies including LLMs, RAG, prompt engineering, and vector databases
• Understanding of MLOps practices and model deployment workflows
• Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain
• Strong written English proficiency (C1+)

• Design original computational data science problems simulating real-world workflows across industries such as telecom, finance, government, e-commerce, and healthcare
• Create Python programming problems using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn
• Ensure problems are computationally intensive and not solvable manually within reasonable timeframes
• Develop problems requiring complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
• Create deterministic problems with reproducible answers, avoiding stochastic elements or using fixed random seeds
• Base problems on real business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
• Design end-to-end problems covering the complete data science pipeline from data ingestion to 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

Please submit your CV in English and indicate your level of English proficiency. Participation is project-based, not permanent employment.