FreelanceDataScienceEngineer(Python&SQL)

_Please submit your CV in English and indicate your level of English proficiency._ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves ** While each project involves unique tasks, contributors may: * 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 **What we look for** This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on data science experience with proven business impact * Portfolio of com