Top Data & Analytics Jobs in Seattle, WA
The Principal Program Cost and Schedule Control Analyst will conduct financial analysis, manage profitability metrics, prepare analytical reports, and coordinate cross-functional finance communications for the F-35 Finance Team at Northrop Grumman.
The Principal Proposal Analyst will evaluate supplier proposals in compliance with Federal Acquisition Regulation and Northrop Grumman requirements. Responsibilities include preparing detailed Price/Cost Analysis Reports, conducting cost estimating, and collaborating with various functions to ensure high-quality proposal submissions that meet customer and financial goals.
The Pricing Analyst at Northrop Grumman will develop and analyze cost proposals for government and commercial clients, ensure compliance with regulations, and support business operations functions. The role involves reviewing RFPs, managing pricing databases, and contributing to proposal development while adhering to federal regulations.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
The Senior Data Scientist will focus on building machine learning models for performance marketing, including designing Multi-Armed Bandit solutions and recommendation systems. The role involves collaboration with various teams to improve customer engagement and contribute to data-driven solutions, requiring hands-on work with data and coding.
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As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
As a Senior Data Scientist at Entefy, you will utilize your expertise in data science to drive productivity through advanced analytics. The role requires leading data projects, extracting insights from complex datasets, and demonstrating proficiency in various programming languages.
The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.
As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Data Annotator will label and tag multimodal data such as images and text, generate multiple-choice questions, and ensure quality through review and verification. This role is flexible, allowing self-motivated individuals to work task-based hours while contributing to AI development.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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