Description:
**Must be local to Phoenix, Arizona.** Key details: -Focus on new pricing algorithms, churn prediction, and customer segmentation. -Experience with Python, SQL, SageMaker, and Databricks is a must. -Ideal candidate will have experience in commercial growth applications (e.g., B2B, pricing, sales analytics). -Advanced degree in statistics, econometrics, physics, or applied mathematics preferred. PRINCIPAL RESPONSIBILITIES:Performs time-series analyses, hypothesis testing, and causal analyses to
May 28, 2025;
from:
dice.com