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Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. Apply your data engineering skills with Hadoop, Spark, and Scala. Job Description As a Senior Data Scientist, you'll join our Value-Added Services – Digital Marketing & Engagement organization.
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Big Data Technologies: Expertise in big data technologies like Hadoop, Apache Spark, Apache Hive, or similar frameworks is crucial for efficiently processing and analyzing massive volumes of data.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Ability to design large scale distributed Big Data processing systems using technologies such as Hadoop, Spark, Kafka, etc. You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber - the #1 threat to US national security, above nuclear weapons.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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In charge of design, setup and maintenance of data infrastructure including but not limited to Databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. Join this highly motivated team to build and maintain data infrastructure in GCP, AWS to support our cutting edge SaaS security product.
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Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). This role will play a key part in shaping Cepheid’s data strategy, ensuring that data systems are robust, scalable, and aligned with business goals.
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Familiarity with artificial intelligence/machine learning, IoT, big data, and cloud technology. This position requires a high level of initiative, deep expertise in account-based marketing, as well as the ability to use data-driven insights to optimize digital marketing efforts.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
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Knowledge of cloud-based big data and analytics services such as SQL Data Warehouse, Databricks, and ETL processes. Ensure cloud solutions meet security and compliance standards including data protection, encryption, access control, and regulatory requirements.
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The successful candidate will be responsible for designing, generating and communicating pharmacology data to support the progression of oncology research programs. Accurate/timely record keeping and data analysis of in vivo data.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. AI Solution Managers then lead cross-functional teams (Data Scientists, Data Engineers, App Developers, and Architects) to develop or configure AI / ML Solutions.
$189,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
big data jobs Title: registered nurse Company: Bayada in Menlo Park, CA
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