Principal Data Scientists

Principal Data Scientist, based in Bellevue, WA, leads and designs advanced statistical and machine learning models to forecast business outcomes such as service activations, digital and retail traffic, and related KPIs. Responsibilities include designing and leading development of models using classic ML techniques (regression, dimensionality reduction) and innovative methods (ensemble models, deep learning), building scalable modeling pipelines in Python, ensuring reproducibility and operational readiness, presenting complex findings to stakeholders, staying current with forecasting and attribution methods, mentoring junior data scientists, and collaborating across marketing, analytics, and data engineering teams. Required skills include SQL and Python, segmentation using statistical methods, predictive analytics with logistic regression and hypothesis testing, ETL/ELT of data from multiple sources, model parameter tuning, and cloud experience with Azure Databricks and AWS. The role involves a hybrid work arrangement with 3-4 days on-site per week in Bellevue, WA, and offers a compensation range of $196,914 to $224,000 annually, plus benefits and performance-based bonuses.