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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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This position can be based at one of our 30+ offices across the US. The position will work closely with both the Global Energy team and Real Estate Data Center development team and play the senior leadership connective tissue in enabling electric utility power access and energy solutions for our data center developments in the real-estate business.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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Familiarity in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink)Familiarity with NoSQL database technologies (. Familiarity with quantitative model development eco systems (R, Matlab, Python)Three or more years of experience in building data lake, cloud data platform leveraging cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job OverviewAs a Principal Signal Integrity Engineer for TE Connectivity you will focus on the electrical design, simulation, and verification-validation testing of high speed products in the connector and/or cable assembly, radio system industry — targeting high speed communications and connectivity within data centers and wireless infrastructure.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required. You will dig into the minds of todays top practitioners in data science, artificial intelligence, and/or machine learning, to help them develop courses that are highly applicable, practical, and engaging.
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Our rapidly growing Industrial market encompasses a a broad range of projects that can span from Water/Wastewater treatment, Food & Beverage processing, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Specialty chemical, Industrial Energy, Manufacturing, Automotive and Emerging Industrial Markets like EVBattery, Data Centers and Semiconductors.
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In order to achieve net zero energy and net zero carbon, SFO actively tracks and aggregates utilities (e.g. water, gas, electricity), greenhouse gas emissions (GHG), and advanced energy asset performance data, among other data, in support of a decarbonized future.
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The Growth Data & Strategy team is responsible for building the vision, driving data-driven programs, and defining tooling strategies to increase Sales, Customer Success (CS), and Account Management (AM) teams’ efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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big data jobs Title: senior data engineer in San Francisco, Mililani-town, Hawaii
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