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Freelance Data Science Engineer (Python & SQL)

MindriftRemote — Manitoba, Canada
Remote Contract CA$55/hr - CA$55/hr

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Experience Level

Experience

Qualifications

This role is ideal for Data Science specialists with a background in Python, seeking part-time, project-based opportunities. Candidates should ideally possess:5+ years of hands-on data science experience with demonstrated business impact. A portfolio of completed projects and publications showcasing effective problem-solving skills. Advanced Python programming expertise for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels). Strong statistical analysis and machine learning skills, along with a deep understanding of algorithms and their applications. Proficiency in SQL and database operations for data manipulation and analysis. Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps practices and model deployment workflows. Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Excellent written English skills (C1+).

About the job

Please submit your CV in English and specify your English proficiency level.

Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role.

Role overview

The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry.

What you will do

  • Create original computational data science problems that reflect real-world analysis tasks.
  • Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Design problems that are computationally intensive and would take days or weeks to solve manually.
  • Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights.
  • Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements.
  • Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations.
  • Include big data scenarios that require scalable computational solutions.
  • Validate solutions using Python and standard data science tools.
  • Document each problem with a realistic business context and provide verified solutions.

Requirements

  • At least 5 years of hands-on data science experience with proven business impact.
  • A portfolio of completed projects or publications that demonstrate strong problem-solving skills.
  • Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels.
  • Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications.
  • Proficiency in SQL and experience with database operations for analysis and manipulation.
  • Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases.
  • Familiarity with MLOps practices and model deployment workflows.
  • Knowledge of frameworks like TensorFlow, PyTorch, and LangChain.
  • Excellent written English skills (C1 level or higher).

How to apply

Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment.

Location

Remote , Manitoba, Canada

About Mindrift

Mindrift specializes in connecting talented professionals with AI projects designed to improve and evaluate cutting-edge technology systems. Join us to work on innovative solutions that drive the future of AI.

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