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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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At least awareness, some knowledge or expertise in any or some of the technologies, frameworks to include (but not limited to) Software Architecture, Cloud, Data Analytics, Artificial Intelligence and Machine Learning, Cyber and Robotic Process Automation.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specifically, in this position, you will lead Process-Level Risk Assessments within the Enterprise Services division at Capital One, and focus on providing a consistent approach for an annual, comprehensive assessment of process risks, requirements, and controls across Capital One’s Critical Business Process (CBP) inventory.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive analytics and modeling Leverage a broad set of modern technologies – including Python, R, Scala, and Spark – to analyze and gain insights within large data sets Manage, architect, and analyze big data in order to build data driven insights and high impact data models Evaluate model design and performance and perform champion/challenger development.
$112,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ECP’s mission is to deliver transformative customer experiences, and the user-centric platforms that enable them, to empower Capital One customers on their financial journeys and beyond.
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IT system automation to include artificial intelligence and machine learning (AI/ML) This program will deliver engineering services for network infrastructure as well as sophisticated enterprise computing infrastructure including end-point devices, data center hosted servers, multi-Cloud services as well as virtualized applications, and storage systems.
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Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
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In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems. JOB DESCRIPTION AND POSITION REQUIREMENTS:The Cyber Innovation, Analytics & Operations Department within the Communications, Information and Navigation Office (CINO) at the Applied Research Laboratory (ARL) is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions.
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Reporting consumption advanced analytics, data science and ML.Skill sets: Python, Spark, (PYSPARK) used APIs to integrate with variousservices, Google big data services, Cloud data proc, data store, BigQuery,cloud composer Google data services.
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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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Bachelor's degree in Computer Science or data related field required and 8+ years experience. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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Experience crafting and maintaining operational policies, standards and procedures related to managing information risk including privacy risk, cyber risk, identity and access management and data governance.
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Site Lead supports the Data Center Manager, covering their activities during absence, and maintaining operational excellence in Data Center operations. The Site Lead is a key role responsible for overseeing and optimizing Data Center operations within a specified region.
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Experience architecting solutions using structured and unstructured Big Data. Experience architecting solutions using Automation, Augmentation and Artificial Intelligence technologies. Master’s degree in Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Expert level work experience as a Cloud Architect.
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artificial job Title: data science Company: Capital One in Reston, VA
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