Data Science Expert

4 days ago

United Kingdom Braintrust Full time

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights.
Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
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
Fraud detection with precision-recall optimization
Cohort analysis and retention rate computations
Model evaluation metrics and performance optimization
Statistical Analysis & Data Processing
Hypothesis testing with multiple comparison corrections
Complex ETL pipeline logic and multi-source data integration
Missing data imputation and outlier detection algorithms
Stationarity testing and autocorrelation calculations
Network analysis and supply chain calculations
Database & Mathematical Foundations
Complex SQL query optimization and window functions
Advanced degree (Master's or PhD) in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
~5+ years of hands-on data science experience with proven business impact
~ Portfolio of completed projects and publications showcasing real-world problem-solving

Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
Statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
SQL and database operations for data manipulation and analysis
Modern AI/ML (Highly Valued)
Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
Understanding of MLOps practices and model deployment workflows
Clear technical writing and documentation skills
Proficient in English for problem creation and communication
Teaching, mentoring, or training experience
Professional certifications in data science or machine learning
Compensation
Task-based compensation.
CV/Resume highlighting ML research or engineering background
Python test

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