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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.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$350,000 - $450,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Ie: Chevron, The GAP, Levi's, Dolby, Sony Interactive, Lending Club, etc) You will identify, develop and close sales opportunities across the Arista product portfolio including Data Center and Campus Networking platforms including our Cloud based WI-FI and POE switches.
$130,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data integration tools and big data technologies (e.g., Hadoop, Spark) Foursquare is looking for a Staff Engineer - Full Stack & Data Engineering to join our team.
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Collaborate cross-functionally with the product and technical teams, bridging the gap between competing priorities and drivers (Including our product, design, data, cloud ops, SRE, and AI/ML teams.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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You have a good general knowledge and interest in the new technologies in the field of Big Data, IoT and Data center technology landscape. Cloud native and Kubernetes knowledge is a huge plusYou have a genuine passion and understanding around how next generation data driven applications transform businesses and society.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
$210,000 - $230,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
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Experience with big data systems in production: eg, Spark, Pinot, Presto. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.
$216,000 - $378,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Background in big data, privacy, data governance, or information security as either customer or vendor. Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards.
$130,000 - $145,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Big Data technologies (e.g. Superset, HBase, Spark, Elasticsearch) Architect our big data ZMP Attribution platform. Familiar with NoSQL databases such as Aerospike, data warehouses such as Snowflake/ ClickHouse/Redshift.
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