Top Senior Level Data & Analytics Jobs in Seattle, WA

Develop dashboards and visualization tools for easy data accessibility and understanding by users. Lead dashboard design, collaborate with teams, update reporting dashboards, coordinate with data analysts, provide design support, and promote stakeholder collaboration. Requires advanced degree in life sciences or data sciences and 7+ years of experience in data analytics, dashboard development, and visualizations.

Develop and enhance models and algorithms for fulfillment operations, collaborate with cross-functional teams to achieve business goals, provide expertise and mentorship to junior data scientists, and communicate proposals and solutions to stakeholders.

Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work. Grow and mentor a team of machine learning modelers and engineers, partner with product leaders, and contribute to strategic plans. Stay up-to-date with AI techniques and help shape the company's ML and AI strategy.

As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.

Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, provide technical direction, and advocate for best practices.

CrowdStrike is seeking a Sr. HRIS Analyst with deep functional knowledge of Workday Absence Management, Time Tracking, and Core HCM. The role involves building integrations, managing payroll interfaces, and deploying new programs around time & attendance.

Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, building processes to root out high-risk activity, and preventing fraud. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and partnering with cross-functional teams to develop solutions. Qualifications include a degree in a quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, and Looker, strong statistics knowledge, and experience with machine learning model development.