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Top Analytics Jobs in Seattle, WA
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
The Forest Carbon Analyst will oversee carbon project development, conduct assessments, prepare documentation, perform statistical analyses, and manage data related to forest carbon projects. They will conduct fieldwork, manage stakeholder communications, and maintain project methodologies and monitoring activities.
The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.
As a Principal Data Analyst, you will support key analytics projects across various teams, explore data for insights, create dashboards and visualizations, and partner with leaders to drive performance and strategy using data-driven insights.
The SEO Analyst will develop and implement initiatives to boost site traffic through SEO strategies, optimize content and code, and manage projects effectively. They will collaborate with team members and clients, analyze performance, and ensure high-quality content production while maintaining strong customer relationships.
The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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