Description:
Responsibilities: Drive end-to-end machine learning projects - from problem formulation and data exploration to model development, evaluation, and deployment. Build scalable, production-ready feature pipelines and models for use cases like personalization, recommendations and ranking. Collaborate with ML engineers, product managers, and analysts to define success metrics, align on priorities, and drive impact through data science solutions. Contribute to best practices in model development, expe
Aug 1, 2025;
from:
dice.com