Jobs / Summary

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

Confidential company · Hamburg · Posted Jun 2, 2026

Public summary

This freelance role involves contributing to AI projects by designing and solving complex data science problems using Python and SQL. The work includes tasks such as feature engineering, predictive modeling, and statistical analysis across various industries including telecom, finance, healthcare, and e-commerce. Candidates should have over five years of data science experience, expertise in Python libraries, statistical methods, machine learning, and GenAI technologies, along with strong English skills (C1+). The position is project-based with flexible hours, paying up to $58 USD per hour depending on contribution level.

Location and work setup

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

Salary

USD 58.00 - 58.00 hour

Responsibilities

Design and create complex computational data science problems simulating real-world scenarios involving data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Ensure reproducibility of results using Python with popular data science libraries and statistical methods. Address business challenges such as customer analytics, risk assessment, fraud detection, forecasting, and optimization. Incorporate scalable approaches for big data processing. Document clear problem statements with realistic business contexts and verified solutions.

Qualifications

Minimum of 5 years hands-on experience in data science with proven impact. Expert proficiency in Python for data science using libraries like Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong skills in SQL and database operations. Deep understanding of statistical analysis and machine learning algorithms. Experience with Generative AI technologies, including large language models, retrieval augmented generation, prompt engineering, and vector databases. Knowledge of MLOps and model deployment practices. Familiarity with modern frameworks such as TensorFlow, PyTorch, and LangChain. Strong written and spoken English proficiency at C1 level or higher.

Skills

Python SQL Pandas Numpy Scipy Scikit-learn Statsmodels Matplotlib Seaborn Statistical analysis Machine learning GenAI technologies Large Language Models RAG Prompt engineering Vector databases MLOps TensorFlow PyTorch LangChain English C1+