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Proficiency with data processing frameworks (e.g., Apache Spark, Apache Beam). Familiarity with data visualization and business intelligence tools (e.g., Tableau, Power BI). Evaluate and recommend new tools and technologies to improve data engineering processes.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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The ideal candidate will have a background in Azure Data Engineering, Azure Data Lake, Azure Databricks, MS Fabric Ecosystems and Oracle E-Business Suite (EBS). Design, develop, and implement data engineering solutions using Azure Data Services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
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Data Storage technology (SSD, HDD, etc) The Information Technology Lab is seeking a passionate and highly motivated Principal Engineer/Researcher to conduct research in AI and/or data platforms & related software and systems for next-gen mobility services.
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Collaborate with USRA and USGS seismologists, geodesists, and system engineers to integrate GNSS data into earthquake monitoring and mitigation efforts. The purpose of this position is to support the collaborative research with USGS focused on improving ShakeAlert, crustal deformation monitoring systems, and post-earthquake response by including high-rate and real-time geodetic data.
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Principal Engineer/Researcher – Data and AI Platform Solutions (Data Focus) PhD Degree. Our client in Mountain View, CA is looking for a Principal Engineer/Researcher – Data and AI Platform Solutions (Data Focus) PhD Degree.
$127,000 - $130,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with enterprise data protection technologies such as DLP (Endpoint, Network and Email), User Behavior Analytics (UBA), and Cloud Access Security Brokers (CASB) Familiarity with securing data across SaaS and IaaS cloud platforms (e.g., AWS, Google Cloud Platform.
$98,800 - $196,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a data analyst, your role is to identify corner cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field; resolve corner cases with creative methods by leveraging in-house toolchains and work closely with Machine Learning Engineers and Annotation Team to apply principals of data-centric AI to resolve real-world problems.
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3 years of experience integrating data from key marketing platforms, including Meta, Google Ads, and TikTok Ads, to guarantee accurate data flow into Google Analytics 4 (GA4), and Tableau.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Develop simulation based evaluation workflows - combing data, metrics & simulation methodologies - to provide clear performance assessment of Xpeng's autonomous driving system, influence and drive onboard development based on evaluation insights.
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NVIDIA is seeking a Senior Site Reliability Engineer (SRE) for the Data Science & ML Platform(s) team. As a Senior SRE at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth.
$148,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$90,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Bedrock AI Data Team at AWS is responsible for delivering high-quality annotated data and a variety of language artifacts to ensure the best performance of different AWS LLM services.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Title: data Company: Luminarehealth in Mountain View, CA
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