About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment.
Key Responsibilities
- Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare.
- Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn.
- Develop problems that require significant computational effort, making manual solutions impractical.
- Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights.
- Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed.
- Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations.
- Include scenarios that require scalable computational methods for large datasets.
- Validate solutions in Python using standard data science libraries and statistical techniques.
- Write clear documentation for each problem, providing business context and verified solutions.
Requirements
- Minimum 5 years of hands-on data science experience with measurable business outcomes.
- Portfolio of completed projects or publications showing real-world problem-solving.
- Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
- Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies.
- Proficient SQL skills for data analysis and manipulation.
- Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.
- Understanding of MLOps and model deployment workflows.
- Knowledge of frameworks like TensorFlow, PyTorch, and LangChain.
- Strong written English skills at C1 level or higher.
How to Get Started
- Apply
- Complete qualification(s)
- Join a project
- Finish assigned tasks
- Receive compensation
Location: Remote , Stuttgart, Baden-Württemberg, Germany

