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Freelance Data Science Engineer (Python & SQL)

3 hours, 8 minutes ago
Germany
Part-time
Senior
Data Scientist
Data Science and Analytics
Feature Engineering Generative AI LLM Machine Learning Matplotlib MLOps NumPy Pandas Python PyTorch Scikit-learn SciPy Seaborn SQL TensorFlow
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Description

  • Design original computational data science problems that reflect real-world analytical workflows across multiple industries.
  • Create Python-based problems using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.
  • Develop computationally intensive tasks that cannot be solved manually within reasonable timeframes.
  • Build problems that require non-trivial reasoning across data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
  • Create deterministic, reproducible problems by avoiding stochastic elements or using fixed random seeds.
  • Base problem scenarios on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design end-to-end data science tasks covering data 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.
  • Write clear problem statements with realistic business context 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-level Python programming for data science, including pandas, numpy, scipy, and scikit-learn.
  • Expert statistical analysis and machine learning knowledge with a deep understanding of algorithms and practical applications.
  • Expert SQL and database operations experience for data manipulation and analysis.
  • Experience with GenAI technologies, including 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.
  • Ability to work part-time on non-permanent, project-based assignments.

Benefits

  • Earn up to $58 per hour equivalent, depending on level and pace of contribution.
  • Estimated workload of around 10–20 hours per week during active project phases.
  • Project-based work with flexibility across different assignments and timelines.
  • Opportunity to work with leading tech companies on AI-related initiatives.

Interested in this position?

Apply directly on the company website

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