Public summary
This freelance opportunity connects experienced data science professionals with project-based AI tasks involving designing and validating complex, reproducible data science challenges using Python and SQL. Contributors work on real-world business scenarios across various industries. Projects are part-time and non-permanent with an expected workload of 10–20 hours per week during active phases, with compensation up to $58 per hour equivalent. English proficiency at C1+ level is required.
Location and work setup
- Location
- Munich
- Remote status
- Remote
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design and develop computational data science problems simulating real-world analytical workflows in industries such as telecom, finance, government, e-commerce, and healthcare; create Python-based problem sets involving data processing, statistical analysis, feature engineering, predictive modeling, and result extraction; ensure reproducibility and computational intensity of problems; incorporate big data scenarios and end-to-end data science pipeline stages; verify solution correctness using Python libraries; document problems with clear business context and verified answers.
Qualifications
At least 5 years of professional data science experience with demonstrable business impact; strong portfolio of projects/publications illustrating applied problem-solving; expert proficiency in Python for data science including pandas, numpy, scipy, scikit-learn, and statsmodels; advanced skills in statistical analysis and machine learning algorithms; expert SQL and database operation abilities; experience with generative AI technologies including LLMs, retrieval-augmented generation, prompt engineering, and vector databases; understanding of MLOps and model deployment; familiarity with modern machine learning frameworks like TensorFlow, PyTorch, and LangChain; strong written English communication skills at C1+ level.