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Freelance Data Science Engineer (Python & SQL)

1 hour, 46 minutes ago
Canada
Part-time
Senior
Data Scientist
Data Science and Analytics
Feature Engineering 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

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Description

  • Design original computational data science problems that reflect real-world analytical workflows across industries such as telecom, finance, government, e-commerce, and healthcare.
  • Create Python-based problems that require solving with libraries such as Pandas, NumPy, SciPy, scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Develop computationally intensive tasks that cannot be solved manually within reasonable timeframes.
  • Build problems that require multi-step reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
  • Create deterministic problems with reproducible answers by avoiding stochastic elements or using fixed random seeds.
  • Base tasks on realistic business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design end-to-end problems covering the full data science pipeline from data ingestion and cleaning through EDA, 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 demonstrated business impact.
  • A portfolio of completed projects and publications showing real-world problem-solving.
  • Expert Python programming for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels.
  • Expert statistical analysis and machine learning knowledge, including deep 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 or higher.
  • English CV submission and indication of English proficiency are required.

Benefits

  • Project-based, non-permanent work on AI opportunities for leading tech companies.
  • Part-time work with an estimated 10–20 hours per week during active project phases.
  • Compensation of up to $55 per hour equivalent, depending on level and pace of contribution.
  • Opportunity to work on varied projects across multiple industries and real-world business domains.
  • Payment after completing project tasks and passing qualification steps.

Interested in this position?

Apply directly on the company website

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