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 extractionCreate deterministic problems with
reproducible answers: avoid stochastic elements or require fixed random seeds
for exact reproducibilityBase problems on real business challenges: customer
analytics, risk assessment, fraud detection, forecasting, optimization, and
operational efficiencyDesign 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 approachesVerify solutions using Python with standard
data science libraries and statistical methodsDocument problem statements
clearly with realistic business contexts and provide verified correct
answersWhat 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 impactPortfolio of completed projects and
publications sho...