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As a Data Center Operations Technician, you will be responsible for various tasks, including inventory and asset management, equipment and cabling installation, network port mapping, connectivity troubleshooting, shipping, and receiving, server patch management support and coordination, and level 1 incident triage support for server OS related issues (Linux and/or Windows.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Data Engineering technologies (e.g. Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO) Data Warehousing (e.g. SQL, OLTP/OLAP/DSS.
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Experience with data visualization using Microstrategy,Tableau, Quicksight, or similar tools. Strong experience with data scheduling tools like Stonebranch(Opswise) or Airflow. Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
$224,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
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Formulate strategies and action plans to optimize seller growth and increase seller adoption of ongoing initiativesUtilize analytics tools and languages such as Python, Looker (LookML), and SQL to analyze data and generate meaningful insightsCollaborate with Walmart Connect advertising team to develop and implement effective seller/advertiser growth strategies using data-driven insights.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Lead the data technology strategy and architecture for Mailchimp’s top initiatives (including our customer data platform (CDP. Lead Mailchimp’s strategy and approach to data architecture with the Intuit Data Strategy.
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Nice-to-haves include:Experience in therapeutic antibody development Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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Sr. Data Engineer - Kohler Ventures Work Mode: Hybrid Location: Hybrid - 3 days/week onsiteat Palo Alto, CA or New York City, NYOpportunityKohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations.
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber – the #1 threat to US national security, above nuclear weapons.
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Tableau / Data Visualization skills and scripting (Python, SQL) You will craft, design and implement our data strategy to the massive iPhone supply chain and help build the future of our manufacturing systems.
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Experience in, or familiarity with, the venture-backed company or venture capital space, especially including familiarity with private company equity data schemas and transaction modeling. This unique position offers the opportunity to help architect the modern law firm’s data infrastructure, power key applications to solve problems for legal practitioners, and craft the integration layer between these bespoke tools and our data warehouse.
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Title: data Company: Luminarehealth in Menlo Park, CA
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