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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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As a Senior Software Engineer, you will: Design and implement big data, distributed, blockchain, and machine learning systems using modern tech stacks in Golang and Python. Experience with real-time and batch big data sets and platforms, ideally 10-100+ TB.
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Applications include real-time control, target class/detect/tracking, data acquisition and analysis, signal processing, networks communications/security, intelligence data cross correlation, image processing, reverse engineering, artificial intelligence, database management and GUI development.
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Strong appreciation for Telecoms technology and architecture evolution in regards to GSM Core Network, LTE , 5G, Charging/Billing, provisioning, cloud and big data etc. Strong Data Analytical skills.
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Databricks is a software platform that helps its customers unify their analytics across the business, data science, and data engineering. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
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Comfortable with the big data ecosystem and Apache Spark. Familiarity with big data processing and cloud computing will be critical to succeed in this environment. In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online.
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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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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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You have built clean data visualizations and dashboards before using modern business intelligence tools (Tableau, Looker etc). You will apply your expertise in data mining and data presentation, as well as your deep knowledge of website performance and SEO, to identify opportunities for improving Notion's website conversion and organic traffic beyond the numbers.
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Experience with modern SoC design architectures, ARM/MiPs type processor cores, Ethernet, Networking, and Data Communications. Bachelor / Master or PhD degree in Electrical Engineering coupled with proven experience in ASIC/FPGA development with Verilog.
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Skiers will delight in being closely distanced to world-class resorts at Mammoth Mountain, Mountain High, and Big Bear. Beachgoers can find plenty of sand, sun, and sunsets at both Southern and Central California beaches like Ventura, Huntington, Santa Monica, and Pismo.
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The Safety Statistics Group (SSG) at AbbVie is an important strategic part of Data and Statistical Sciences (DSS). Safety Statisticians work on products in the AbbVie portfolio ranging from early to later stages of development and life cycle management, with a focus on evaluation, interpretation, and reporting of aggregate/integrated safety data, including benefit risk planning and assessment.
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First-hand experience with reservoir monitoring and application of physics-based data analysis tools to seismic data, well logs and petrophysical laboratory experiments. Development of physics-informed ML models for seismic data interpretation and upscaling of petrophysical measurements.
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An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. Samsung Interface Lab (SIL) is looking for a senior analog design engineer with experience in high-speed I/O design.
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big data jobs Title: devops engineer in California, MO
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