Freelance Data Science Engineer (Python & SQL)

Mindrift; Madrid; Remote; EUR 34,000 - 49,000; Part time

Benefits offered by this job

Take part in part-time, remote, freel

Gain experience on advanced AI projets

Portfolio building opportunities

Job summary

Mindrift is seeking to engage remote, freelance data science problem designers. You will craft real-world analytical challenges using Python and standard libraries, spanning data ingestion, cleaning, EDA, modeling, validation and deployment considerations.

Applicants should have 5+ years of experience, a master’s/PhD, and a portfolio of projects/publications. This role is fully remote with flexible hours and international collaboration opportunities.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of hands-on data science experience with proven business impact.
• Portfolio of completed projects and publications showing real-world problem-solving.
• Proficient in python programming for data science (pandas, numpy, scipy, sklearn, statsmodels).
• Proficient in SQL and database operations for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
• Advanced English (C1) or above.

Responsibilities

• Design original computational data science problems simulating real-world analytical workflows.
• Create problems requiring Python programming to solve using standard libraries.
• Ensure problems are computationally intensive and not solvable manually within days/weeks.
• Develop problems with non-trivial reasoning in data processing, modeling and insight extraction.
• Create deterministic problems with reproducible answers and fixed seeds where needed.
• Base problems on real business challenges across multiple industries.
• Design end-to-end problems spanning data ingestion to deployment considerations.
• Incorporate big data processing scenarios needing scalable approaches.
• Verify solutions using Python and statistical methods.
• Document statements clearly with realistic business contexts and verified answers.

Skills

Python

Pandas

Numpy

Scipy

Sklearn

Statsmodels

Matplotlib

Seaborn

SQL

GenAI

RAG

Prompt engineering

Vector databases

TensorFlow

PyTorch

LangChain

MLOps

Education

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field

Tools

TensorFlow

PyTorch

LangChain

Vector 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

• 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.

Compensation

On this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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, sklearn, 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

• 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.