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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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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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Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Delivery of Enterprise Financial Risk Management solutions, including enterprise model risk governance, credit risk oversight, and price verification to optimally assess and track all risks, issues, controls, and compliance.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. 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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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more. We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Understanding of data modeling/ visualization, database design principles, and data governance practices. - Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
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Lead a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design, ETL and reporting components of applications using Microsoft tools.
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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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The Water Security and Resilience Practice Lead will provide thought leadership across the WSSH portfolio in areas including but not limited to water conservation and source water protection, surface and groundwater modeling, agriculture water management, transboundary water governance and planning, water quality monitoring, environmental flows, flood early warning systems and land use planning.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
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Compile or update maritime features and attributes for the SFH DNC/ENC portfolio on ArcGIS based Data Capture and Finishing Environment (DCAFE) workstations or ESRI based Foundation GEOINT Modernization (FG MOD) production environment workstations.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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modern data governance machine jobs Company: Wex in Vienna, VA
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