About the job
Please submit your CV in English and indicate your English proficiency level.
This freelance, project-based contract connects data scientists with AI assignments for top technology companies. The work centers on designing and validating computational challenges that mirror real-world analytics in industries such as telecom, finance, government, e-commerce, and healthcare. This is not a permanent position.
Key Responsibilities
- Design data science problems that reflect authentic analytical workflows and business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency improvements.
- Develop computationally intensive challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.
- Write tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting actionable insights.
- Ensure all problems are deterministic and reproducible, using fixed seeds for any random elements.
- Design end-to-end projects spanning the full data science lifecycle: data ingestion, cleaning, exploratory data analysis (EDA), modeling, validation, and deployment considerations.
- Incorporate big data processing elements that require scalable computational solutions.
- Validate solutions in Python with standard data science libraries and statistical techniques.
- Document each challenge clearly within a business context and provide verified, correct answers.
Location
This role is remote and based in València, Valencian Community, Spain.
