Mindrift
DataScientist(Python&SQL)-FreelanceAITrainer
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optimal for Senior candidates.
“Data Scientist (Python & SQL) - Freelance AI Trainer at Mindrift. Skills: Python, SQL, Machine Learning, Data Science. Design computational data science problems. Create problems requiring Python”
What You'll Achieve.
proven business impact; completed projects; publications showcasing real-world problem-solving
Industry & Context.
real-world problem-solving; data processing; statistical analysis; feature engineering; predictive modeling; insight extraction
What They're Looking For.
Must Have
5+ years of hands-on data science experience, Expert Python programming for data science, Expert statistical analysis, Expert machine learning, Expert with SQL, database operations, written English (C1+)
Nice to Have
GenAI technologies, MLOps practices, model deployment workflows, modern frameworks
What You'll Do.
Design computational data science problems
Create problems requiring Python
Ensure problems are computationally intensive
Develop problems requiring reasoning
Create deterministic problems
Base problems on real business challenges
Design end-to-end problems
Incorporate big data processing scenarios
Document problem statements
How You'll Work.
Communication Scope
level of English proficiency
Full Job Description
_Please submit your CV in English and indicate your level of English proficiency._ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves ** While each project involves unique tasks, contributors may: * 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 **What we look for** This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on data science experience with proven business impact * Portfolio of com
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