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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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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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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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We are looking for a Principal Product Manager on the Anti-Fraud team who has the passion to work with data scientists and engineers to design and implement strategies that leverage Big Data and complex fraud detection algorithms to stop fraudsters in their tracks.
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Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP big data technologies.
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2+ years of relevant work experience, with management consulting, investment banking, product or strategy in big data, analytics, and/or data science. Bachelor's in Science, Technology, Engineering, or Mathematics (STEM), or similar fields.
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Create connective tissue: Work with and share knowledge among various functions, including Product, Engineering, Marketing, Data Science and Executive teams. Practical business understanding with genuine passion for technology, big data, and/or entrepreneurship.
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The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, and big data technologies. A PhD degree in Statistics, Bioinformatics, Data Science, Computer Science, or similar field.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Visa is looking to hire a Senior Manager, Data Science to lead the development of business insights into the innovation economy based on big data. You must have strong technical depth and experience in application of Machine Learning, Deep Learning, and Data Science techniques.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development.
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As a Staff Engineer working on the Anvilogic platform team you will be an integral part of the group building out the back end of the detection automation platform, attack detection analytics and machine learning operations using the most effective big data solutions.
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Manage, organize and analyze big data using statistical software (e.g., R, Python). Desired ability to use or learn statistical software (e.g., R, Python, REDCap, Qualtrics, Excel) to manage and organize databases, design and administer surveys, and analyze data, and to conduct scientific literature reviews and contribute to manuscripts and conference proposals.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Machine Learning Engineer – Data Science.
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This requires the use of sophisticated distributed systems, the processing and visualization of Big Data and application of advanced statistical techniques. We are looking for a senior software engineer to create distributed systems and platforms to transform and model data, and create tools and machine learning pipelines to make machine learning, statistical and econometrics models run faster.
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big data science jobs in Palo Alto, CA
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