About the job
We invite you to submit your CV in English, along with an indication of your English proficiency level.
Mindrift facilitates connections between talented specialists and project-based AI opportunities at leading technology firms, focusing on the assessment, validation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.
What This Opportunity Involves:
Each project presents unique challenges; contributors may be tasked with:
- Crafting original computational data science problems that emulate real-world analytical workflows across diverse sectors such as telecom, finance, government, e-commerce, and healthcare.
- Designing problems that necessitate Python programming to tackle (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).
- Ensuring that the problems are computationally demanding and cannot be resolved manually within reasonable timeframes (days/weeks).
- Creating problems that require complex reasoning chains in areas such as data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Developing deterministic problems with reproducible solutions: avoiding stochastic components or utilizing fixed random seeds for exact reproducibility.
- Base problems on actual business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Integrating big data processing scenarios that require scalable computational solutions.
- Verifying solutions using Python alongside standard data science libraries and statistical methodologies.
- Providing clear documentation of problem statements within realistic business contexts and supplying verified correct answers.