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We are looking for a lead data scientist to be part of our analytics and product development team focused on building tools that will power and advise our clients with the most cutting-edge technology available in the load management, grid modeling and distributed energy resource sectors.
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Praescient Analytics is seeking a Senior Project Manager - Data Governance that will function as a team lead providing data governance support to a critical homeland security mission.
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JOB DESCRIPTION:Position Title: Senior Data EngineerLocation: Long Term AssignmentDuration: Remote Team: Interflow /DAP Reporting: DAP Reporting is responsible for reports, analytics data on the digital test administration.
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Strong AWS and Snowflake Data Architect/Engineer with good experience of Deployment automation and DevOps in Snowflake and AWS eco system. Snowflake Data Architect with DevOps Skills. · Define test, release, update, and support processes for operation of data platform infrastructure.
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As a C-UAS All Source Analyst, you will conduct data analysis of specialized C-UAS threat systems data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deliver insights to help our clients turn data into action as a Data Warehouse Manager at GDIT. Your work will provide transformative solutions to our state health agency clients’ big-data obstacles and help advance the mission of Medicaid.
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Extensive hands-on experience with Microsoft Azure data services, including Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, etc. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
$200ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives.
$199,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Together, we build and support products that address complex, real-time data and analytics needs in the enterprise. Text Data Processing and Analysis: Develop and oversee methodologies for text data extraction, processing, and analysis, utilizing technologies such as Elasticsearch, Solr, or custom NLP tools.
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We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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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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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Point of contact between the data analyst/data engineer and the project/functional analytics leads. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, multimedia (audio, image, video, document), tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types.
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Title: data analytics manager in Reston, VA
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