Freelance Data Science Engineer (Python & SQL)

Mindrift; France; Remote; EUR 43,000 - 71,000; Part time

Benefits offered by this job

Part-time freelance

Remote work

Portfolio-building projects

Job summary

Mindrift is seeking a Data Science AI Trainer for a fully remote, part-time freelance engagement. Join projects that advance Generative AI by crafting real-world data science problems and assessing solutions using Python and common libraries.

You should have a master's or PhD, 5+ years in data science, strong Python, SQL, ML knowledge, and GenAI experience. You will design end-to-end data pipelines, reproducible challenges, and contribute to impactful AI across industries.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years hands-on data science with business impact.
• Portfolio of completed projects/publications.
• Proficient in Python for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
• Expert in statistical analysis and ML with practical applications.
• Proficient in SQL for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompts, vector DBs).
• Knowledge of MLOps and model deployment workflows.
• Familiar with TensorFlow/PyTorch and LangChain.

Responsibilities

• Design original computational data science problems simulating real-world workflows.
• Create problems requiring Python programming to solve with libraries listed.
• Ensure problems are computationally intensive and require non-manual solutions.
• Develop problems with non-trivial reasoning in data processing, modeling, and insights.
• Create deterministic problems with reproducible answers.
• Base problems on real business challenges like analytics, risk, forecasting, and optimization.
• Design end-to-end data pipelines from ingestion to deployment considerations.
• Incorporate big data processing scenarios with scalable approaches.
• Verify solutions using Python and standard data science methods.
• Document problem statements with realistic business context and verified answers.

Skills

Advanced degree

5+ years data science

Portfolio of projects

Python for data science

SQL proficiency

GenAI technologies

MLOps knowledge

TensorFlow / PyTorch

English proficiency

Statistical analysis

Education

Master's or PhD in Data Science/Statistics/Math/CS

Tools

Pandas

NumPy

SciPy

Scikit-learn

Statsmodels

Matplotlib

Seaborn

LangChain

TensorFlow

PyTorch

Vector databases

SQL databases

Job description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
• Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
• Develop problems requiring non‑trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
• Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
• Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
• Design end‑to‑end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
• Incorporate big data processing scenarios requiring 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

How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements

• You hold a Master's or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
• You have at least 5 years of hands‑on data science experience with proven business impact
• You have portfolio of completed projects and publications showcasing real‑world problem‑solving.
• You are proficient in python programming for data science (pandas, numpy, scipy, scikit‑learn, statsmodels).
• You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
• You are proficient in SQL and database operations for data manipulation and analysis
• You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
• You have good understanding of MLOps practices and model deployment workflows
• You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
• Your level of English is advanced (C1) or above
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines

Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge

Benefits

Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $58/hour depending on your skills, experience, and project needs

• Take part in a part‑time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise