Principal Data Scientists

Principal Data Scientists located in Bellevue, WA will implement and maintain modeling pipelines in Python, ensuring statistical accuracy and version control in collaboration with data engineering teams (10%). Position duties and responsibilities include, but are not limited to: Communicate complex findings clearly to technical and non-technical stakeholders through presentations, documentation, and data visualizations that support decision-making (10%). Stay current with advances in forecasting, attribution modeling, and statistical methods by engaging in professional development and applied learning (5%). Design, lead and innovate the development of advanced statistical and machine learning models to forecast business outcomes such as service activations, digital and retail traffic, and related KPIs. Methods include classic machine learning methods, like statistical regression analysis and dimensionality reduction, and innovative methods, like ensemble models and deep learning. Models are developed with a focus on strategic scalability and are used to inform enterprise-level planning and budgeting decisions (30%). Contribute to the design, innovation and refinement of media attribution models including Marketing Mix Modeling and Multi-Touch Attribution to evaluate marketing effectiveness and align attribution insights with forecasting strategies (10%). Guide the development and deployment of scalable modeling pipelines in Python, providing oversight to ensure reproducibility, rigor, and operational readiness (15%). Mentor and review the work of junior data scientists providing methodological direction, feedback, and quality control (10%). Collaborate cross-functionally with marketing, analytics, and data engineering teams to ensure that forecasting and attribution outputs meet business needs and are integrated into decision-making processes (10%). Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week.