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Wurl collects data from a range of OTT video streaming ecosystem components. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2021 and 2022; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; Best Publisher Platform by the Digiday Media Awards in 2023; and FAST Innovation of the Year by The VideoTech Innovation Awards in 2022.
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This position is ideal for a data engineer or machine learning engineer with a strategy background. The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Corporate Strategy.
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5+ years to 7 years A minimum of 5 years as a Data Architect with progressively increasing responsibility. Manage risk: Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and pro actively managed as more information becomes federated in a digital economy.
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You will be a Principal Engineer within Data Platform, both leading/guiding design and development as well as contributing in a quite hands-on capacity with Spark/Flink data processing and Java/Scala microservices development, owning much of the launch of a new platform which is driving industry-leading innovation on a hyper scale security data lake that helps find bad actors and stop breaches.
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Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Working with a brilliant team of product managers, product designers, software engineers, and key business leaders, you will leverage data and insights to drive growth and retention for one of our emerging product groups (car repair marketplace or chatbot.
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As a member of the Platform team, you will take ownership of projects and work with large-scale data processing systems. We are seeking a motivated engineer to join the team responsible for AppLovin's core products which process over 6PB of data and reach 1B users daily.
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You are a quantitative thinker who wants to develop further as both a data scientist and an engineer. Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources.
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Delta Pipelines : It's difficult to manage even a single data engineering pipeline. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$166,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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The Head of Data Science Training &Consultation continues a long tradition of university-wide service for data-driven research scholarship, while growing Research Data Services’ capacity as a hub for digital and computational research support.
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Intuit is looking for a Distinguished Data Engineer who will be responsible for Mailchimp’s data technology strategy, architecture and our approach to leverage data to drive growth for the business.
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Were looking for a Big Data Engineer with strong understanding of big data and ML platforms, passionate about building and managing cloud infrastructure and can demonstrate to Apples high standards.
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This is an excellent opportunity for a data scientist interested in cancer and health outcomes, with access to world class AI/ML faculty, working at the forefront of use of large datasets to address major unanswered questions across a variety of disciplines.
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Be a data evangelist: collaborate with both technical and non-technical teammates to supplement decisions with quantitative evidence. Build and automate tools to surface key data to stakeholders across a broad range of data literacy levels.
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a job Title: data in Stanford, CA
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