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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Data Security Procurement group, you will be responsible for establishing and executing sourcing strategies and plans for our Cyber Defense & Engineering + Information Technology department.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Snowflake, Databricks, RedshiftExperience with delivering large scale enterprise applications using big data tech such as S3, Hadoop, SparkExperience or knowledge of No-SQL - DB’s - Cassandra, MongoDB, Redis, CouchbaseExperience building high performance data models and large distributed cube environments.
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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! Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Preferred Education:Master's Degree in information technology, information systems, computer science, or a relevant field. Qualifications Required Education:Bachelor's Degree in information technology, information systems, computer science, or relevant field.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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A master's degree in computer science from an accredited college or university and three years of progressively more responsible, full-time, satisfactory experience in Information Technology (IT) including applications development, systems development, data communications and networking, database administration, data processing, or user services.
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: information science, computer science, data science, communication, information technology, network administration, Information systems, human-computer interaction, Informatics.
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What you'll bring to Circle: BS/BA in Information Science,puter Science, Engineering or relevant field. Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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This is a highly technical role, requiring familiarity with day-to-day operations and use of eDiscovery technology including data processing tools, hosting platforms (Relativity experience required) and analytics/TAR/Predictive Coding (Relativity or Brainspace strongly preferred.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) performing automation design and development for User Interface (UI), Web Services Automation, and ETL in AWS cloud environment and for report validations.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
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Bachelor’s degree in computer science, Information Systems / Security, Computer or Systems Engineering, or related technical degree with 2 - 6 years of related NERC CIP experience resulting in demonstrated ability to perform the major duties required.
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big data information technology science jobs Company: Capital One in Hoboken, NJ
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