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Current Master's - 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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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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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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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience with deployment and management of data science tools and modules such as JupyterHub. This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory.
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Experience leveraging Esri's software capabilities including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Lead the design and modeling of data repositories in ServiceNow for enterprise reporting and analytics, enhancing data accessibility and insight generation.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. Analytica is seeking a remote Data Governance Lead to support a federal government client engagement in the Washington, DC metro area.
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This role will be a member of the Data Analytics & Reporting team at NFFG. The team possesses a wide range of expertise ranging from data engineering, data governance, data science, data & analytics, model development, business intelligence, and internal management and reporting capabilities.
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Master’s degree in Computer Science, MIS, Data Engineering or another relevant field. Advanced knowledge of Azure platform/data tools such as Azure Data Lake, Azure Data Factory, Azure Synapse, Power BI, DevOps, Databricks, and other associated technologies.
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Apply data science and visual programming trade-craft to support and streamline analysis tasks as identified by key stakeholders and the government. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization.
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The Director of Data Science will lead a team of Data Scientists responsible for utilizing advanced statistical tools, machine learning, and leading-edge technology for disseminating insights largely gathered from omnichannel customer data, product data, and process-generated data across Ahold Delhaize USA & our Great Local Brands.
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data science jobs Title: data science lead in Arlington, VA
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