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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 23 days ago - UpvoteDownvoteShare Job
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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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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. 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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The OpportunityAre you driven to use your expertise in data science engineering to drive the next stage of growth at Adobe? Chip in to data engineering and data science frameworks, tools, and processes.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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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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Advanced degree (Masters or Ph. D.) in Computer Science, Statistics, Mathematics, or related quantitative field, or equivalent work experience with a Bachelor's degree. Adobe is seeking a strategic HR Business Partner to serve as a trusted advisor and coach to our Engineering business leaders across EMEA. Currently reporting into the Vice President of EMEA Employee Experience, this role will also be responsible for driving the people agenda across the business in Romania.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bucharest is a high growth location for Adobe, predominantly housing EMEA engineering teams in a site of over 1,100 people. Serve as a trusted commercial business partner to the EMEA Engineering VPs, driving the people strategy for these teams, including coaching for organisational effectiveness and high-performance culture.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Adobe Digital Imaging Data Science Team (Photoshop & Lightroom) is looking for a Data Scientist who is passionate about data and has the desire to provide an outstanding product experience for our customers.
$192,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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8+ years of proven track record as a data engineer. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark 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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Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc. Implement outstanding data operations and implement standard methodologies to use resources in an optimum way.
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2+ years' experience with streaming data ingestion and transformation using Kafka, Kinesis etc. Architect data ingestion, data transformation, data consumption, data governance frameworks.
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