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Freelance Data Science Engineer (Python & SQL) | Remote

MindriftRemote — Greece
Remote Contract $34/hr - $34/hr

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Experience Level

Mid to Senior

Qualifications

This role is ideal for Data Science specialists experienced in Python, looking for part-time, non-permanent projects. Preferred candidates will possess:5+ years of practical data science experience with a demonstrated impact on business outcomes. A portfolio showcasing completed projects and publications that illustrate real-world problem-solving capabilities. Expertise in Python programming for data science applications (pandas, numpy, scipy, scikit-learn, statsmodels). Deep knowledge of statistical analysis and machine learning, with a thorough understanding of algorithms and their practical applications. Proficiency in SQL and database operations for data manipulation and analysis. Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). Knowledge of MLOps practices and model deployment workflows. Experience with modern frameworks (TensorFlow, PyTorch, LangChain). Strong proficiency in written English (C1+).

About the job

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

This freelance, project-based role with Mindrift connects experienced data science professionals to AI projects for leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. This is not a permanent position.

Role overview

The Freelance Data Science Engineer (Python & SQL) creates and validates computational data science challenges for real-world business applications. Projects are varied and may include:

  • Designing original data science problems that reflect analytical processes in industries such as telecom, finance, government, e-commerce, and healthcare.
  • Developing tasks requiring Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.
  • Ensuring challenges are computationally intensive and not solvable manually within days or weeks.
  • Formulating problems involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight generation.
  • Designing deterministic problems with reproducible results, either by avoiding randomness or using fixed random seeds.
  • Basing scenarios on genuine business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Covering the full data science pipeline, from data ingestion and cleaning to exploratory analysis, modeling, validation, and deployment considerations.
  • Introducing big data scenarios that require scalable computational approaches.
  • Validating solutions using Python, established data science libraries, and statistical methods.
  • Documenting problem statements in realistic business contexts and providing verified solutions.

Requirements

  • Minimum 5 years of hands-on data science experience with measurable business outcomes.
  • Portfolio of completed projects or publications that demonstrate real-world problem-solving.
  • Expertise in Python for data science (including pandas, numpy, scipy, scikit-learn, statsmodels).
  • Strong background in statistical analysis and machine learning, with practical knowledge of algorithms.
  • Proficiency in SQL and database operations for data analysis.
  • Familiarity with GenAI technologies, such as LLMs, RAG, prompt engineering, and vector databases.
  • Understanding of MLOps practices and model deployment workflows.
  • Experience with frameworks like TensorFlow, PyTorch, or LangChain.
  • Excellent written English skills (C1 level or higher).

How the process works

  1. Apply
  2. Meet qualifications
  3. Join a project
  4. Complete assigned tasks
  5. Receive payment

Location: Remote, Greece

About Mindrift

Mindrift connects skilled professionals with project-based AI opportunities at top technology companies, focusing on the testing, evaluation, and enhancement of AI systems.

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