About the Company
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
Responsibilities
- Design original computational data science problems that simulate real-world analytical workflows across industries
- Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
- Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
- Incorporate big data processing scenarios requiring scalable computational approaches
Requirements
- Masters or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
- At least 5 years of hands-on data science experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Proficient in Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
- Expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications
- Proficient in SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Good understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Advanced level of English (C1 or above)
- Ability to learn new methods, switch between tasks and topics quickly, and work with challenging, complex guidelines
Benefits
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
- Work on advanced AI projects and gain valuable experience that enhances your portfolio
- Influence how future AI models understand and communicate in your field of expertise