ph3Overview /h3 pMindrift 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. /p h3What This Opportunity Involves /h3 pWhile each project involves unique tasks, contributors may: /p ul liDesign original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) /li liCreate problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) /li liEnsure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) /li liDevelop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction /li liCreate deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility /li liBase problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency /li liDesign end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)



/li liIncorporate big data processing scenarios requiring scalable computational approaches /li liVerify solutions using Python with standard data science libraries and statistical methods /li liDocument problem statements clearly with realistic business contexts and provide verified correct answers /li /ul h3What We Look For /h3 pThis 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 li5+ years of hands-on data science experience with proven business impact /li liPortfolio of completed projects and publications showcasing real-world problem-solving /li liExpert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) /li liExpert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications /li liExpert with SQL and database operations for data manipulation and analysis /li liExperience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) /li liUnderstanding of MLOps practices and model deployment workflows /li liKnowledge of modern frameworks (TensorFlow, PyTorch, LangChain) /li liStrong written English (C1+) /li /ul h3How It Works /h3 pApply → Pass qualification(s) → Join a project → Complete tasks → Get paid /p h3Project time expectations /h3 pFor 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 h3Compensation /h3 pOn this project, contributors can earn up to b$34 per hour equivalent /b, depending on their level and pace of contribution. 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 #J-18808-Ljbffr

📌 Data Scientist (Python & SQL) - Freelance AI Trainer (Valencia)
🏢 Mindrift
📍 Valencia