About the job
Please submit your CV in English, specifying your English proficiency level.
At Mindrift, we link talented specialists with project-based AI opportunities within renowned tech companies, concentrating on the assessment, testing, and enhancement of AI systems. This role is project-based rather than a permanent position.
Opportunity Overview:
Each project presents unique challenges, but contributors may be tasked with:
- Crafting original computational data science challenges that mimic real-world analytical workflows across various domains including telecom, finance, government, e-commerce, and healthcare.
- Implementing Python programming solutions for these challenges (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).
- Ensuring tasks are computationally demanding and not solvable manually within typical timeframes (days/weeks).
- Developing challenges that necessitate complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving insights.
- Creating deterministic problems with consistent outputs: avoiding stochastic elements or mandating fixed random seeds for exact reproducibility.
- Grounding problems in authentic business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
- Incorporating big data challenges that necessitate scalable computational strategies.
- Validating solutions through Python and standard data science libraries along with statistical techniques.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
