Sr. Staff Data Scientist

We are seeking a self-motivated and independent Data Scientist to solve complex problems and influence user experience strategies and product decisions through data-driven insights. You will join a newly established hybrid UX Research team comprising Data Scientists, Quantitative Researchers, and Qualitative Researchers. Together, you'll triangulate diverse data types to craft strong, actionable perspectives. In this role, you will develop and track metrics to drive product development strategies grounded in data. We're looking for someone who thrives outside their comfort zone, creatively gathers product and customer insights, excels in data storytelling, and is passionate about integrating data science expertise into UX and product development. What you get to do in this role:Identify and investigate complex customer challenges across product areas to inform the product development lifecycle—from discovery through concept validation, adoption, and use. Autonomously prioritize and execute data and metrics projects to enhance user experience and product adoption. Collaborate with Researchers, Product Managers, Designers, Engineers, and other cross-functional teams, using data and metrics to drive product decisions and optimize processes. Create data visualizations and dashboards (e.g., Tableau, Matplotlib, Seaborn) to clearly convey the "So What" of your analysis to stakeholders. Advance modeling of existing product capabilities, including noise reduction, anomaly detection, and root cause analysis, to achieve higher performance and impact. Explore and analyze existing datasets to generate hypotheses and identify opportunities for high-impact, organization-level initiatives. Present findings to both expert and non-expert stakeholders in a compelling and actionable manner. Provide leadership, vision, and direction for large-scale collaborative efforts. Champion data analytics and telemetry by setting high standards, developing best practices, mentoring team members, and contributing to the hiring process for data science talent.