Overview
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 completed projects and publications showcasing real-world problem-solving

Expert Python programming

📌 Data Scientist (Madrid)
🏢 Mindrift
📍 Madrid