Description:
Required Skills and Experience More years of related professional experience. Hands-on experience in analytics and data science (classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning). Solid proficiency in data science tools such as Python, R, Spark, SQL. Experience implementing predictive algorithms and statistical analysis/inference in workflows using structured and unstructured data. Ability to communicate highly technical re
Oct 21, 2025;
from:
dice.com