About the job
We invite you to submit your CV in English, specifying your English proficiency level.
Mindrift specializes in connecting skilled professionals with project-based AI opportunities at top technology firms. Our focus is on enhancing, testing, and evaluating AI systems. Note that participation is project-based and does not constitute permanent employment.
Opportunity Overview:
Each project will involve distinct tasks, including but not limited to:
- Designing innovative computational data science challenges that replicate real-world analytical workflows across various sectors (telecom, finance, government, e-commerce, healthcare).
- Creating Python programming tasks that utilize libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.
- Ensuring that the problems are computationally demanding and not solvable manually within reasonable timeframes (days/weeks).
- Developing tasks that necessitate complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Formulating deterministic problems with reproducible answers, avoiding stochastic elements, or requiring fixed random seeds for exact reproducibility.
- Grounding problems in genuine business scenarios: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
- Incorporating big data processing scenarios that require scalable computational methodologies.
- Validating solutions using Python with standard data science libraries and statistical techniques.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
Qualifications:
This role is ideal for Data Science specialists with practical experience in Python who are open to part-time, non-permanent engagements. The ideal candidate will possess:
- 5+ years of hands-on data science experience with a proven impact on business outcomes.
- A portfolio of completed projects and publications demonstrating real-world problem-solving capabilities.
- Expertise in Python programming specifically for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.
- A deep understanding of statistical analysis and machine learning algorithms, methods, and their practical applications.
- Proficiency in SQL and database operations for data manipulation and analysis.
- Experience with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases).
- Knowledge of MLOps practices and model deployment workflows.
- Familiarity with modern frameworks like TensorFlow, PyTorch, and LangChain.
- Strong written English communication skills (C1+).
Application Process:
Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.
