Description
Rather than a reporting-heavy analytics position, this role uses statistical and machine-learning models to influence operational decisions.
Projects may include recommendation systems, churn prediction, demand forecasting, dynamic pricing, and other predictive applications built from large business datasets. The work moves from exploratory analysis through feature design, validation, and communication with engineering or business stakeholders.
Python or R, SQL, statistics, pandas, scikit-learn, and solid model-validation habits form the practical core of the position.
Someone who enjoys translating messy commercial questions into measurable modeling problems is likely to be more comfortable here than a candidate interested only in pure research.
The opportunity has been curated by Trainety from BelovTech's job page. Check the source for the latest status and requirements.
https://www.belovtech.com/careers/data-scientist