Top Senior Level Data Engineer Jobs in Seattle, WA
Responsible for defining and driving data governance within the Finance organization at ServiceNow. Partner with leaders to implement data policies and standards, establish data quality metrics, and ensure data consistency. Develop strategies for data capture and maintenance, and maintain a data dictionary of key Finance data attributes.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work. Grow and mentor a team of machine learning modelers and engineers, partner with product leaders, and contribute to strategic plans. Stay up-to-date with AI techniques and help shape the company's ML and AI strategy.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
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You will be at the forefront of developing and implementing advanced ML models to address complex challenges and contribute to our business goals.
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.
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.
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.
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