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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Relevant coursework includes but is not limited to Digital Signal Processing, Analog to Digital Processing, Signal Analysis, Filter Design, Digital System Design, Linear Electronics, Signals & Systems, Data Structures, Non-Linear Vibrations, Power & Propulsion, Acoustics, etc.
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As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business.
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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.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
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Proficiency with ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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Works in partnership with Employee Relations and Compliance Manager, NPR’s employment counsel, and NPR’s external HR compliance consultant to ensure NPR’s compliance with applicable government reporting requirements, including preparing and auditing data for required reporting for federal, state, and local agencies.
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Competence in SQL, Tableau, Power BI, and Excel Pivot Tables for Data Management, Visualization, Analytics, and Reporting. Conducting Data Management, Visualization, Analytics, and Reporting using SQL, Power BI, Tableau, and Excel Pivot Tables.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc. Lead Data Engineer position is a key engineering role helping us to design, build, and support our future state data platform here at CAVA. In this role you will be expected to spearhead the design, development, and implementation of our next-generation data architecture, while leading and coaching junior engineers.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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Expertise in Spark/Python/Databricks, Data Lake and SQL. Unit tests for all the Spark, Python data processing and Lambda codes. Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.
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data job Company: Iqvia Holdings Inc in Mclean, VA
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