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6+ years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a data management architect and data engineer, you will specialize in modern data and integration platforms such as Informatica, Reltio, Snowflake, and MuleSoft to connect, harmonize, and transform data to deliver relevant insights.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The ideal candidate has deep technical and functional expertise in Finance Systems and has experience across multiple companies to introduce best practices leveraging their broad and deep knowledge of various ERPs (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Hyperion; Workday; or SAP.
$261,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
$129,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Familiarity with and ability to architect solutions using a broad range of AI techniques including (but not limited to) Data Science, Analytics, Autonomy/Autonomous Systems, Machine Learning, Deep Learning, Reinforcement Learning, NLP, and Generative AI/LLMs.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep Collaboration with data platform product team for data ingestion, data quality, data transformation of sample operations data to provision for clinical sample analytics.
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In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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The Palantir Data Engineer will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Deep technical expertise in one or more microgrid technology areas, including: controls algorithms, supervisory control and data acquisition (SCADA), network communications, power systems engineering, power electronics, energy management, energy efficiency, power generation, distributed energy resources, renewables integration, and/or energy storage.
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data deep jobs Title: engineer Company: Nvidia in Falls Church, VA
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