Top Remote Data & Analytics Jobs in Seattle, WA
The Data Analyst, Financial Systems role focuses on providing data analytics support to teams within Finance & Strategy, Accounting, and Tax at Stripe. Responsibilities include performing data analysis, identifying trends, coordinating projects for operational efficiency, supporting financial audits, and collaborating with engineering teams.
The Data Entry Specialist reviews and files legal documents using online platforms. Responsibilities include investigating discrepancies, participating in training, and completing additional projects while maintaining accuracy and attention to detail.
As an Enterprise Data & Analytics Product Owner, you will develop and maintain the roadmap for the enterprise data warehouse, collaborate with cross-functional teams to gather requirements, lead the data model development, manage projects, optimize business processes, and oversee user acceptance testing.
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The Senior Data Scientist at Sensor Tower will focus on developing data modeling algorithms to analyze large data sets, ensuring data accuracy and reliability. They will create data models, utilize AI for workflow improvements, and deliver insights for digital marketing products. This role requires collaboration with engineers and other data scientists to drive product development and improvements.
The Senior CRE Quality Assurance Analyst performs internal audits of commercial real estate loan portfolios, ensures compliance with regulations, reviews loan tracking logs, and conducts training sessions on credit policy. They prepare QA reports for management and assist in the development of loan quality assurance procedures.
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
As a Mixed Method Researcher focusing on quantitative methods, you will drive UX research practices, analyze quantitative data, and inform product strategies. Responsibilities include collecting insights from diverse customer data, collaborating with interdisciplinary teams, and executing impactful research plans.
The AWS Data Architect will develop and manage data pipelines, ensuring data quality, define data models, collaborate with business analysts, and implement data governance principles. Additionally, they will enable data-driven decision-making through expert guidance on data consumption and work on continuous integration processes for data pipelines.
The Sr. Data Scientist will leverage analytics and machine learning to inform product development, optimize user experiences, and drive key performance metrics. Responsibilities include conducting experiments, analyzing customer usage, developing reporting, and presenting findings to influence data-driven decisions.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
Top remote Companies in Seattle, WA Hiring Data + Analytics Roles
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