About the job
We invite you to submit your CV in English, detailing your proficiency level in the English language.
Mindrift serves as a bridge connecting specialized talents with project-based AI opportunities in leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based, not a permanent position.
Key Responsibilities:
- Develop innovative computational data science challenges that mirror real-world analytical processes across various sectors, such as telecommunications, finance, government, e-commerce, and healthcare.
- Design tasks that necessitate Python programming for solutions, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.
- Ensure challenges are computationally demanding, requiring solutions that cannot be achieved manually within a reasonable time frame (days or weeks).
- Create problems that involve intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and extraction of insights.
- Formulate deterministic problems that yield reproducible results, minimizing stochastic elements and, when necessary, utilizing fixed random seeds for consistency.
- Base challenges on authentic business issues, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational effectiveness.
- Design comprehensive problems that cover the entire data science pipeline, from data ingestion and cleaning to exploratory data analysis, modeling, validation, and deployment considerations.
- Integrate big data processing scenarios that require scalable computational strategies.
- Validate solutions using Python with standard data science libraries and statistical techniques.
- Clearly document problem statements within realistic business contexts, providing verified correct answers.
