Top Senior Level Data & Analytics Jobs in Seattle, WA

The Senior Staff Scientist will lead the development of hybrid AI applications on quantum computers, collaborate across teams to optimize algorithms, and represent IonQ at conferences. The role requires expertise in quantum AI applications and significant experience in algorithm development and business problem-solving.

The Data Warehouse Analyst will focus on Data Quality, Analytics Governance, and Security. Responsibilities include conducting complex analyses, designing data quality frameworks, driving compliance initiatives, and developing SQL queries to manage enterprise metrics. The role requires collaboration with technology and business partners to implement necessary data controls and best practices.

As a Senior Data Scientist at Warner Bros. Discovery, you will design and build machine learning systems for customer growth, lead the development of scalable ML solutions, promote best practices, and collaborate with cross-functional teams to solve complex problems related to user engagement and retention.

The Merchandising Analytics Manager will analyze assortment strategies and promotional effectiveness to enhance financial performance and customer experience. This role involves developing insights, managing analytics initiatives, mentoring analysts, and collaborating with the business intelligence team. The manager will leverage large data sets and communicate findings to stakeholders while ensuring data integrity.

As a Senior Operations Manager for Predictive Analytics, you will serve as a trusted advisor to leaders, driving staffing decisions that impact operational efficiency and customer satisfaction. You'll engage with cross-functional stakeholders to analyze resource demands, develop capacity plans, and improve hiring strategies based on forecasting methods.

As a Senior Director of Data Science, you will lead a new division at Dropbox, designing strategies based on data insights to drive growth and influence key business decisions. Responsibilities include building a high-performing team of data scientists, fostering a data-informed culture, and collaborating with cross-functional leaders to innovate and scale initiatives.

As a Data Engineer, you will build and maintain data infrastructure to enhance revenue growth and seller acquisition at Square. This role involves creating data pipelines, collaborating with engineering teams, analyzing data sources, and supporting business reporting and optimization efforts. You'll also assist in data analysis and serve as a bridge between engineering and marketing teams.