Postúlate en Kit Empleo: kitempleo.es/empleo/644lw4

Please submit your CV in English and indicate your level of English proficiency.

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What This Opportunity Involves

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

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Participation is project-based, not permanent employment.Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)

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Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)

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Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)

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Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction

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Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility

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Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency

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Design end-to-end problems spanning the complete data science pipeline (data ingestion ? cleaning ? EDA ? modeling ? validation ? deployment considerations)

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Incorporate big data processing scenarios requiring scalable computational approaches

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Verify solutions using Python with standard data science libraries and statistical methods

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Document problem statements clearly with realistic business contexts and provide verified correct answers

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What We Look For

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This opportunity is a good fit for Data Science specialists with experience in Python open to part-time, non-permanent projects.

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5+ years of hands-on data science experience with proven business impact

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Portfolio of completed projects and publications showcasing real-world problem-solving

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Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)

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Expert statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications

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Expert with SQL and database operations for data manipulation and analysis

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Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)

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Understanding of MLOps practices and model deployment workflows

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Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)

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Strong written English (C1+)

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How It Works

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Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

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Project Time Expectations For this project, tasks are estimated to require around * hours per week during active phases, based on project requirements.

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This is an estimate, not a guaranteed workload, and applies only while the project is active.

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Compensation

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On this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.

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Compensation varies across projects depending on scope, complexity, and required expertise.

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Please note that other projects on the platform may offer different earning levels based on their requirements.

Postúlate en Kit Empleo: kitempleo.es/empleo/644lw4

📌 Freelance Data Science Engineer (Python & Sql) (Madrid)
🏢 Mindrift
📍 Madrid