Jobs / Summary

Freelance Data Scientist (Python & SQL) for AI Training Projects

Confidential company · Frankfurt · Posted Jun 2, 2026

Public summary

This freelance opportunity is suited for experienced Data Scientists with expertise in Python and SQL to work on project-based AI training tasks. The role involves designing computational data science problems based on real-world business challenges across various industries and verifying solutions with Python. Participation is part-time and project-based with flexible workload and compensation up to $58 per hour equivalent. Strong English proficiency (C1+) is required; German language skills are not necessary.

Location and work setup

Location
Frankfurt
Remote status
Remote
German requirement signal
No German Required Detected
Detected job language
English

Salary

USD 58.00 - 58.00 hour

Responsibilities

Design original computational data science problems simulating real-world analytical workflows across multiple industries. Create complex problem sets requiring advanced Python programming and statistical analysis. Ensure problems are reproducible and deterministic with fixed random seeds where applicable. Cover the complete data science pipeline including data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Develop scalable scenarios for big data processing. Verify solutions using Python and standard libraries. Document problem statements clearly with realistic business contexts and verified answers.

Qualifications

Minimum 5 years hands-on data science experience with demonstrable business impact. Expert proficiency in Python data science libraries including pandas, numpy, scipy, scikit-learn, and statsmodels. Advanced knowledge of statistical analysis and machine learning algorithms. Proficient in SQL and database operations for data manipulation and analysis. Experience with Generative AI technologies such as large language models, retrieval augmented generation, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Experience with modern frameworks like TensorFlow, PyTorch, and LangChain. Strong written and spoken English at C1 level or above.

Skills

Python SQL Pandas Numpy Scipy Scikit-learn Statsmodels Matplotlib Seaborn Statistical Analysis Machine Learning GenAI Large Language Models Prompt Engineering Vector Databases MLOps TensorFlow PyTorch LangChain English C1+