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Account Management/Client Services, Brand Strategy, Data Analytics, Media, Search Marketing (PPC/SEO), Paid, Owned and Earned Social Media and Marketing Data Analytics.
$80,000 - $90,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.
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Lead the team in designing and analyzing various A/B experiments within the search business, evaluating product optimization outcomes, assessing market activity impact, analyzing fluctuations in key metrics, and establishing data systems.
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As a Senior Analytics Engineer, youll partner with our business leaders to define key metrics and develop the data architecture. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models.
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Partnering with data engineering, operations, analytics and other stakeholder teams to build data solutions for complex data requirements via data models, queries and dashboards.
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Edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Design and implement scalable data models and architectures to support data warehousing, analytics, and reporting needs.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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In this exciting Senior Data Analytics Engineer - DFT Methodology engineering role, you will have the opportunity to help shape NVIDIA's DFT endeavors, and ultimately all of our hardware ranging from GPU's, chips, DGX, AV, robotics and more using data analytics and machine learning technologies.
$156,000 - $287,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of proven experience in Data Engineering, worked on designing and developing software with Big Data, Data Lake/ Lake House ecosystem, Data Analytics, backend microservices architecture, and heterogeneous data types at scale.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Strong expertise in statistical analysis tools, SPC methodology, DOE, data analytics using JMP or other statistical software. Conducting tests and monitoring the process performance through data analytics SW such as JMP.
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The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
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Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
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