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As a data scientist within the Adobe.com organization, you will be a core part of the data science and analytics team, driving analytics-based insights that enable engaging experiences for our Creative Cloud customers, and bring users to experience core product value quickly across the Creative Cloud business.
$192,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The OpportunityAre you driven to use your expertise in data science engineering to drive the next stage of growth at Adobe? This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Chip in to data engineering and data science frameworks, tools, and processes. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
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Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required.
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With Adobe Experience Platform, our enterprise customers are able to manage their data lifecycle. What you'll need to succeed Masters' degree in Computer Science, or equivalent experience.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7 years of proven experience in data science, machine learning, or related roles, with a focus on fraud detection in subscription-based businesses or financial services. Proven track record of leading complex data science projects from conception to production deployment, delivering tangible business value.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The candidate has an innovative approach with passion for fraud detection and prevention along with creativity in data visualization. Sound data visualization skills with ability to tell the story to key partners.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We seek a senior, experienced ‘hands-on’ Data Science leader to join our Customer Engineering team within the Adobe Digital Experience (DX) Cloud Engineering. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges – requiring this leader to develop and execute a team charter and roadmap , resulting in new customer and operational KPI reporting , predictive intelligence (e.g. , at - risk customers , customer maturity, etc.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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The Sr. Fraud Data Scientist/ AI-ML Engineer uses their technical skills to detect emerging fraud trends, automate processes, and provide data driven insights. Strong understanding of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) for handling large-scale datasets.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc. Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc.
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Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Implement outstanding data operations and implement standard methodologies to use resources in an optimum way. 2+ years' experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
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Architect data ingestion, data transformation, data consumption, data governance frameworks. Hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc.
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