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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Engineering Manager, App Insights, Services Data Science & Analytics”. A match may be a passing mention rather than the job itself. Titles only.
385 roles across 426 listings · show every listing · page 1 of 16
…Manage critical data pipelines to enable growth initiatives and advanced analytics. Facilitate data integration and transformation for moving data between applications, ensuring interoperability with…
…Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline - 5+ years of technical product management, program management or engineering experience - Experience…
…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…
…managing a portfolio of complex, high-value workloads across industry verticals - Technical depth in one or more areas: cloud migrations, application modernization, data & analytics…
…Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to data engineering teams, Data Science/ML, and Application/integration…
…5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services BS or higher in Computer Science or…
…analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science…
…Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference…
…and Service Cloud and customer lifecycle processes Experience working with telemetry, analytics, and customer health data Ability to partner effectively with engineering, operations, and…
…Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches…
…the full analytics lifecycle—from data infrastructure and pipeline development to advanced analytics, customer insights modeling, AI-driven solutions, and self-service reporting. This…
…You will generate insights that will guide 3P business growth opportunities across categories, sales teams and account management programs. Data analysis is at the…
…Provide hands-on audit support by leveraging data science and advanced analytics to execute data-driven testing throughout the audit lifecycle.Customer Zero Engineering…
…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…
…Simply put, while FinOps manages the engine of Finances operational transactions, FinOps Analytics provides the compass by leveraging AI, Tableau dashboards, and data analysis…
…Strong experience engineering technical architectures involving complex data flows, event-driven architectures, fine-grained access controls, data retention management, and secure third-party integrations…
…Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our…
…critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and…
The App Store Analytics Quality Engineering team ensures the accuracy, reliability, and integrity of customer experience data that powers features and insights across the…
…forward deployed engineering, solutions or sales engineering, analytics engineering, professional services, or similar. Strong SQL and hands-on data modeling. You can shape messy…
…application integration technologies (e.g., event-based integration, RESTful concepts, middleware approaches, etc.) • Experience with tools and techniques for enabling analytics, data-based insights…
…service analytics capabilities while maintaining governance, consistency, and trust in data. Cross-Functional Leadership Act as a trusted strategic partner to Product, Engineering, Product…
…adoption of data science and AI capabilities in practical, business-oriented ways Data Strategy & Intelligence Infrastructure Partner closely with IT, Data Engineering, RevOps, and…
…These strategic cloud opportunities can include, but are not limited to, large-scale migrations, GenAI, data and analytics, digital innovation, high performance computing, product…
…We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data…