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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Our Data, Science & Analytics team works across our big data cloud platform and data supply chain, using advanced analytics, machine learning, AI, and deep learning methods to make an impact across our entire data ecosystem.
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Research in the areas of data visualization, human computer interaction (HCI), interactive and ubiquitous computing, data analytics, and data science at Dolby Laboratories focuses on all aspects of large-scale cloud and edge data platforms and services, and novel ways to accelerate discovering insight from data.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Option 1: Bachelor's degree in Computer Science or related field and 6 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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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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Technologies Used: Python, Ubuntu, PostgreSQL, jQuery, Django, CSS, HTML5, AJAX, Bootstrap, OpenLayers, Web Development, Front End, Database, Software, Analysis, Agriculture, Cloud, Mobile, Big Data.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago
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