Top Senior Level Data Engineer Jobs in Seattle, WA
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Lead a team of Machine Learning Engineers and Data Scientists to build machine learning solutions for fraud prevention in the financial services industry. Partner with ML ops and ML platform teams to improve research efficiency and model quality. Define frameworks for evaluating model performance and accelerate the model development processes. Evaluate and introduce new algorithms and model architectures to improve performance.
Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio, collaborating with internal and external subject matter experts to develop and manage training programs for upskilling needs in data management, analysis, and AI technologies.
Join Chewy as a Data Engineer II on the Transportation Systems team. Own the design, development, and maintenance of enterprise data pipelines, create data products for analytics, and lead the evaluation of emerging tools and processes for analytics. Requires 5+ years of experience and expertise in data engineering with skills in Python, SQL, Spark, and more.
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The Machine Learning Engineer (Modeling) role at Cash App involves building machine learning models for various workstreams such as fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to improve customer experiences, enhance security, and provide accessible credit solutions.
Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.
Design, develop, and maintain scalable solutions for metrics, reports, and analyses. Translate business problems into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, and troubleshoot data-quality issues. Review and recommend improvements for backend data sources.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable solutions for AI-powered work experiences. Champion AI strategies and industry trends to shape the direction of AI-driven initiatives at ServiceNow.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
The OFRO P&T Risk & Quality Data Science Director at PwC is responsible for developing and monitoring risk management policies, compliance, and technology solutions. The role involves leading a team to assess and manage risks effectively to facilitate the delivery of products and services profitably. The Director will need to have strong communication, critical thinking, and leadership skills.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
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