Data Scientist (Python & SQL) - Freelance AI Trainer

<p><em>Please submit your CV in English and indicate your level of English proficiency.</em></p><p><a href="https://himalayas.app/companies/mindrift">Mindrift</a> connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. <strong>Participation is project-based, not permanent employment.</strong></p><h3>What this opportunity involves </h3><p>While each project involves unique tasks, contributors may: </p><ul><li>Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)</li><li>Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)</li><li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)</li><li>Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction</li><li>Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility</li><li>Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency</li><li>Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)</li><li>Incorporate big data processing scenarios requiring scalable computational approaches</li><li>Verify solutions using Python with standard data science libraries and statistical methods</li><li>Document problem statements clearly with realistic business contexts and provide verified correct answers</li></ul><p><strong>What we look for </strong><br>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: </p><ul><li>5+ years of hands-on data science experience with proven business impact</li><li>Portfolio of completed projects and publications showcasing real-world problem-solving</li><li>Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)</li><li>Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications</li><li>Expert with SQL and database operations for data manipulation and analysis</li><li>Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)</li><li>Understanding of MLOps practices and model deployment workflows</li><li>Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)</li><li>Strong written English (C1+).</li></ul><h3>How it works </h3><p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p><h3>Project time expectations </h3><p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. </p><h3>Compensation</h3><p>On this project, contributors can earn up to <strong>$34 per hour equivalent</strong>, depending on their level and pace of contribution.</p><p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>