Description:
Qualifications 0-2 years of experience in data science, statistics, and data analytics Strong programming abilities in SQL, Python, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering
Apr 14, 2025;
from:
dice.com