Freelance Data Science Engineer (Python & SQL)

Mindrift; Stuttgart; Remote; EUR 49,000 - 71,000; Part time

Benefits offered by this job

Part-time schedule

Remote freelance

Portfolio development

Job summary

Mindrift invites a Data Science AI Trainer to join our remote, freelance platform. You will craft GenAI-related data science problems, requiring Python programming with pandas, numpy, scipy, and sklearn.

You’ll design reproducible, business-focused challenges across industries, and verify solutions using standard DS methods. Ideal candidates hold a Master’s/PhD in a quantitative field, have 5+ years of hands-on DS experience, and can work independently on diverse projects with a strong emphasis

Qualifications

• Master's or PhD in a quantitative field (Data Science/Statistics/CS).
• 5+ years hands-on data science with real-world impact.
• Strong Python data-science programming (Pandas, NumPy, SciPy).
• Expert in statistics, ML methods and practical applications.
• Proficient in SQL and database operations.

Responsibilities

• Design and solve compute-heavy DS problems across industries.
• Create Python-based problems using common DS libraries.
• Ensure problems have fixed seeds for reproducibility when needed.
• Develop end-to-end data science pipelines (ingestion to deployment).] ,
• Document problem statements with realistic business contexts and verified answers.

Skills

Python

SQL

GenAI

Machine Learning

Data Visualization

Education

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

Tools

Pandas

NumPy

Scikit-learn

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

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.

Compensation

On this project, contributors can earn up to $58 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, 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

• 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