Freelance Data Science Engineer (Python & SQL)

Mindrift; España; Remote; EUR 25,000 - 42,000; Part time

Benefits offered by this job

Part-time freelance

Fully remote

Portfolio building experience

Job summary

Mindrift in a fully remote freelance capacity seeks a senior data scientist to design end-to-end data science problems. You will craft challenges across industries, requiring Python libraries, reproducible answers, and clear documentation of problem statements with realistic business contexts.

The role emphasizes GenAI technologies, strong statistics, and MLOps practices. A Master’s/PhD and 5+ years of experience are expected, with English at C1+.

Qualifications

• Master's or PhD in a quantitative field as listed.
• 5+ years hands-on data science with demonstrable impact.
• Portfolio of projects/publications showing real-world problem solving.
• Proficient in Python for data science (pandas, numpy, scipy, sklearn).
• Strong statistical analysis and ML knowledge with practical application.
• Proficient in SQL and database operations.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering).
• Knowledge of MLOps and model deployment workflows.
• Familiarity with TensorFlow, PyTorch, and LangChain.

Responsibilities

• Design original computational data science problems simulating real-world workflows.
• Create problems requiring Python programming and standard libraries.
• Ensure problems are computationally intensive and reproducible.
• Develop end-to-end problems covering data ingestion to deployment considerations.
• Base problems on business challenges like analytics, risk, fraud, forecasting.
• Verify solutions using Python with statistical methods and provide verified answers.

Skills

Advanced English (C1+)

Data science problem solving

Python programming

SQL

GenAI technologies

MLOps

English proficiency

Education

Master's or PhD in Data Science/Statistics/Mathematics/Computer Science

Tools

pandas

numpy

scipy

sklearn

statsmodels

matplotlib

seaborn

TensorFlow

PyTorch

LangChain

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.