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Data Scientist (Python & SQL) - Freelance AI Trainer

2 hours, 23 minutes ago
France
Part-time
Senior
AI (Artificial Intelligence)
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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Mindrift.ai: Be the “I” in AI

Mindrift.ai: Be the “I” in AI

Join 10,000+ experts earning $15-50/hr training AI models remotely. Flexible freelance work, weekly payments. No AI experience required. Apply in 5 minutes.

Internet Software & Services
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Description

  • Design original computational data science problems that reflect real-world analytical workflows across multiple industries.
  • Create Python-based problems that require use of data science 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.
  • Build problems that require multi-step reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
  • Design deterministic, reproducible problems with fixed random seeds or other reproducible methods when needed.
  • Base problem scenarios on real business use cases such as customer analytics, fraud detection, forecasting, optimization, and operational efficiency.
  • Create end-to-end tasks spanning the full data science pipeline from data ingestion and cleaning through modeling, validation, and deployment considerations.
  • Incorporate large-scale 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 validated correct answers.

Requirements

  • 5+ years of hands-on data science experience with demonstrated business impact.
  • A portfolio of completed projects and publications that shows real-world problem-solving.
  • Expert Python programming for data science using pandas, NumPy, SciPy, scikit-learn, and Statsmodels.
  • Expert-level statistical analysis and machine learning knowledge, including practical understanding of algorithms and methods.
  • Expert SQL and database operations experience 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 proficiency at C1 level or above.
  • Ability to work part-time on non-permanent, project-based assignments.

Benefits

  • Project-based paid work with leading tech companies.
  • Compensation up to $58 per hour equivalent, depending on contribution level and pace.
  • Estimated workload of 10–20 hours per week during active project phases.
  • Flexible participation on a non-permanent, project-based basis.

Interested in this position?

Apply directly on the company website

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