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Freelance Data Scientist (Python & SQL) - AI Project Contributor

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

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Experience Level

Mid to Senior

Qualifications

5+ years of hands-on data science experience with proven business impact. Portfolio of completed projects and publications showcasing real-world problem-solving. Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications. Expert with SQL and database operations for data manipulation and analysis. Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps practices and model deployment workflows. Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Strong written English (C1+).

About the job

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects experienced data scientists with contract-based AI projects for major tech companies. Work centers on testing, evaluating, and improving AI systems across a range of industries. This is a project-based contract, not a permanent role.

Role overview

The Freelance Data Scientist (Python & SQL) will design and validate complex computational problems that reflect real analytical workflows. Projects may involve sectors like telecom, finance, government, e-commerce, and healthcare. Assignments focus on creating and documenting original data science problems that mirror practical business challenges.

What you will do

  • Create computational data science problems based on real business scenarios.
  • Develop tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Ensure problems are computationally demanding and cannot be solved manually in a short time.
  • Design scenarios involving complex reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights.
  • Write deterministic problems with reproducible results, using fixed random seeds as needed.
  • Align problem statements with business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Address the full data science pipeline: ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations.
  • Incorporate big data processing elements that require scalable solutions.
  • Validate solutions using Python and standard statistical methods.
  • Document problems clearly in realistic business contexts and provide verified solutions.

Requirements

  • At least 5 years of hands-on data science experience with proven business impact.
  • Portfolio of completed projects or publications demonstrating real-world problem-solving.
  • Advanced Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels).
  • Strong knowledge of statistical analysis and machine learning, including algorithms and practical applications.
  • Strong SQL skills for data manipulation and analysis.
  • Experience with GenAI tools (LLMs, RAG, prompt engineering, vector databases).
  • Familiarity with MLOps and model deployment workflows.
  • Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain.
  • Exceptional written English (C1 level or higher).

Application process

  1. Apply with an English CV and indicate your English proficiency.
  2. Complete qualification steps.
  3. Join a project when matched.
  4. Complete assigned tasks.
  5. Receive compensation for your contributions.

Location: Remote , Manitoba, Canada

Note: This is a part-time, project-based contract and does not constitute permanent employment.

About Mindrift

Mindrift specializes in bridging talented professionals with exciting, project-based AI opportunities, helping tech companies enhance their AI systems through rigorous testing and evaluation.

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