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Bachelor's Degree and 5+ years of hands-on experience with Agile software development using Java, Python, JavaScript, React, Vue.js, and JQuery, UI experience. Performs test-driven software engineering and development activities associated with designing, developing, maintaining, and enhancing the Big Data analytic system using an Agile DevSecOps model.
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AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena. #DataEngineer #AWS #Topsecret #FDA #publictrust #DataIngesting #DataPipeline #Python #Terraform #ETL #dataintegration #bigdataanalyticspipeline #awsbigdata #hadoop #apachespark #RDBMS #awsdynamoDB #collaboration #diversity #equity #Inclusion.
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Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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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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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
$164,600 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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Advanced knowledge of analytics tools such as Python, SQL, Alteryx, Tableau, PowerBI, etc. Drive decision-making regarding RE Tech data architecture, models, tools, & processes with the intent of improving Data Analytics efficiencies, quality, and breadth of deliverables.
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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.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Python, SQL, Spark, and AWS (Lambda, Glu, EMR) notebook tools like databricks or Jupiter. Programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Advising stakeholders on advanced data mining and technical matters, research, and applications. Possess a minimum of 12 years of data mining and modeling experience. Perform complex data mining tasks involving the application of proven data mining principles, practices, and techniques in the effort to identify anomalous events.
$168,700 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Data Scientist will play a pivotal role in supporting National Security Group (NSG) strategies through the development and enhancement of automated systems and models. Strong programming skills in Python, SQL, and experience with version control systems like Git.
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Proficiency in using a broad range of Microsoft software applications, marketing research tools, data mining tools, and technologies (e.g., Tableau, Power BI, Databricks, JMP, SQL). You will engage in data mining for marketing insights and implement predictive analytics and decision-making processes to achieve product, revenue, and member engagement goals.
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