Top Data & Analytics Jobs in Seattle, WA
The Senior Data Scientist will develop and optimize predictive models using machine learning techniques and 3D data, write software for data preparation, and utilize cloud resources and data analysis tools to drive business strategy, while thriving in a fast-paced collaborative environment.
As a Senior Machine Learning Engineer at the Wikimedia Foundation, you'll be responsible for developing, training, deploying, and managing machine learning models. You'll work collaboratively with various internal and external stakeholders to build scalable ML solutions, ensure effective communication, and optimize model performance in production environments.
The Analyst Relations Manager at Secureworks will build and grow the analyst relations program, develop strategies aligned to business goals, manage relationships with analysts, execute custom research, and drive peer reviews on platforms like Gartner. The role requires strong communication, leadership, and organizational skills.
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This role involves analyzing financial data to support strategic decision-making. Responsibilities include data collection and interpretation, creating metrics and visualizations, collaborating with cross-functional teams, and ensuring data accuracy. The analyst will drive data-driven insights to influence business outcomes.
The role involves participation in a virtual webinar series aimed at informing potential candidates about KKR's business operations, career paths, and the 2026 Summer Analyst recruiting process.
The Information Analyst III will develop and analyze financial and non-financial performance data, maintain databases, and design reports. They will provide technical assistance and resolve user errors while participating in division-wide projects and ensuring data quality and efficiency improvements.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
As a Growth Strategy & Operations Sr. Analyst at Airtable, you'll perform analyses on multiple data sets, identify operational improvements, develop reporting systems to enhance sales performance, and serve as a strategic partner to sales leadership. This role involves collaboration across teams to deliver effective GTM initiatives and requires a blend of analytical skills and communication abilities.
As the Senior Director, Data & Analytics, you will lead the Global Data and Analytics practice, drive strategy and growth, deliver data-driven solutions, mentor a team of professionals, manage client relationships, and improve operational efficiency.
The Research Scientist will contribute to the development and adoption of adjoint-based inverse design using Tidy3D, focusing on algorithm design, software development, and collaborating on practical applications in industry and academia.
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