Über das Unternehmen
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
Aufgaben
- 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 (days/weeks)
- 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
- Verify solutions using Python with standard data science libraries and statistical methods
- Document problem statements clearly with realistic business contexts and provide verified correct answers
Anforderungen
- You hold a Masters or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
- You have at least 5 years of hands-on data science experience with proven business impact
- You have portfolio of completed projects and publications showcasing real-world problem-solving
- You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
- You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications
- You are proficient in SQL and database operations for data manipulation and analysis
- You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- You have good understanding of MLOps practices and model deployment workflows
- You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Your level of English is advanced (C1) or above
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
Benefits
- Get paid for your expertise, with rates that can go up to $58/hour depending on your skills, experience, and project needs
- 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