Mindrift · 1 month ago
Freelance Data Science Expert (Python & SQL) - AI Trainer
United States
Full-time
Remote
Mid LevelMindrift is a company that connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI. The Data Science AI Trainer role involves designing computational data science problems and collaborating on various projects to improve GenAI models' reasoning capabilities.
Computer Software
Responsibilities
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)
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
Qualification
Required
Proficiency in Python programming, including libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn
Experience in designing computational data science problems that simulate real-world analytical workflows
Ability to create problems that require non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
Experience in developing end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
Knowledge of big data processing scenarios requiring scalable computational approaches
Ability to verify solutions using Python with standard data science libraries and statistical methods
Strong documentation skills to clearly articulate problem statements with realistic business contexts
Ability to create deterministic problems with reproducible answers, avoiding stochastic elements
Company
Mindrift
Welcome to Mindrift — a space where innovation meets opportunity.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase