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Freelance Data Science Engineer (Python & SQL)

2 hours, 27 minutes ago
United States
Part-time
Senior
Data 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 industries such as telecom, finance, government, e-commerce, and healthcare.
  • 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.
  • Build problems that require non-trivial reasoning across 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 problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design end-to-end tasks spanning 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 with standard data science libraries and statistical methods.
  • Document problem statements clearly with realistic business contexts 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 showcasing real-world problem-solving.
  • Expert Python programming for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels.
  • Expert-level statistical analysis and machine learning knowledge, including algorithms, methods, and practical applications.
  • 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 higher.
  • Ability to work on a part-time, non-permanent, project-based basis.

Benefits

  • Opportunity to work on project-based AI opportunities with leading tech companies.
  • Flexible part-time workload of approximately 10–20 hours per week during active project phases.
  • Compensation of up to $90 per hour equivalent, depending on level and pace of contribution.
  • Project-based participation rather than permanent employment.
  • Chance to contribute to AI testing, evaluation, and improvement work across multiple industries.

Interested in this position?

Apply directly on the company website

Apply Now

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