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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
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Experience with Microsoft Azure database, Azure Data Factory, Data bricks, and Apache Spark. EDUCATION: Bachelor's Degree required (Informatics, Epidemiology, Computer Science, Statistics or related.
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The Project Manager for data transformation serves as the central point of coordination and delivery for our important new BI transformation, specifically involving technologies such as Looker, dbt and BigQuery.
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Bachelor's degree in Statistics, Mathematics, Data Science, or a related field; advanced degrees preferred. They must have strong experience using a variety of data analysis methods and data science libraries to build and implement new models.
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Deep understanding of Business Intelligence, semantic layer (Looker), Data Warehouse (BigQuery) and more widely data management, and project management. Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field.
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Deep understanding of insider threat detection and mitigation techniques, including user behavior analytics, data loss prevention (DLP), and access controls. Your Work Experience Bachelor's degree in Criminal Justice, Forensic Science, Information Security, or related field; Master's degree preferred.
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Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master’s degree preferred.
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Knowledge of health science research methodologies, data applications and repositories, and health and government information sources. Provide faculty and student instruction, consultation and support in allied health disciplines including citation management, evidence-based practice, instructional support, interlibrary loan and & document delivery, NIH Public Access Policy, Data Management Plans and other federal mandates, and some work on literature reviews.
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EDUCATION:Specific certification in personal training required from an organization accredited by the National Commission for Certifying Agencies (NCCA), including, but not limited to: ACSM, ACE, NASM, NSCA, NETA, ISFTA, AFAA. Bachelor’s degree in exercise science,EXPERIENCE:Experience in the administration of physical assessments and testing protocols, exercise prescription and exercise program design.
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Bachelor's Degree in Engineering, Life/Physical Science, Environmental Engineering, Safety, or Industrial Hygiene, Chemistry, EHS or other related field is required. Manage Data Integrity: Coordinate data management requirements for environmental reporting, annual EH&S reports, performance measurements, regulatory compliance assessment and audit program follow-up.
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Familiarity with Data Science, Machine Learning, and Artificial Intelligence solutions. 6+ years of experience in Azure administration & architecture, Azure Data Services, ARM templates, PowerShell, and CI/CD using Azure DevOps. Demonstrated advanced experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance.
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MINIMUM QUALIFICATIONS·Bachelor’s Degree in Applied Science in Manufacturing, Engineering or Industrial Technology preferred. Knowledge of ABAP language and logic is preferableAn understanding of SAP Vendor Master data is preferable.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Performance and network tuning Primary responsibility will be the new Secaucus data center and helping to manage all systems worldwide Qualifications: Minimum Bachelor of Science in Computer Science or equivalent.
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data science jobs in Paramus, NJ
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