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Freelance Data Science Engineer (Python & SQL)

5 hours, 14 minutes ago
Greece, Italy, Portugal
Part-time
Senior
AI Research Scientist
Data Science and Analytics
Feature Engineering Generative AI Machine Learning Matplotlib MLOps NumPy Pandas Python PyTorch Scikit-learn SciPy Seaborn SQL TensorFlow
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Mindrift.ai: Be the “I” in AI

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Description

  • Design original computational data science problems that simulate real-world analytical workflows across multiple industries.
  • Create Python-based problems using libraries such as Pandas, NumPy, SciPy, scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Develop computationally intensive problems that cannot be solved manually within a reasonable timeframe.
  • Create problems that require non-trivial reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
  • Build deterministic, reproducible problems with fixed random seeds or no stochastic elements.
  • Base tasks on realistic business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design end-to-end data science problems covering ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations.
  • Incorporate big data processing scenarios that require scalable computational approaches.
  • Verify solutions using Python, standard data science libraries, and statistical methods.
  • Document clear problem statements with realistic business contexts and provide verified correct answers.

Requirements

  • 5+ years of hands-on data science experience with proven business impact.
  • A portfolio of completed projects and publications demonstrating real-world problem-solving.
  • Expert Python programming for data science, including pandas, numpy, scipy, and scikit-learn.
  • Expert statistical analysis and machine learning knowledge, with understanding of algorithms, methods, and practical applications.
  • Expert SQL and database operations for data manipulation and analysis.
  • Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases.
  • Understanding of MLOps practices and model deployment workflows.
  • Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.
  • Strong written English at C1+ level.
  • Willingness to work part-time on non-permanent, project-based assignments.

Benefits

  • Up to $34 per hour equivalent, depending on contribution level and pace.
  • Project-based work with estimated 10–20 hours per week during active phases.
  • Opportunity to work with leading tech companies on AI-related projects.
  • Flexible participation on a non-permanent, part-time basis.

Interested in this position?

Apply directly on the company website

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