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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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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons' (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office's anti-trafficking work to the public and other stakeholders.
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Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing. Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools.
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As an AWS Big Data Architect, you will be at the forefront of architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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R4D will engage the services of research assistants or data collection firm who conduct semi-structured key informant interview and focus group discussions with key stakeholders from the Ministry of Education Ghana Education Serices (GES), University for Development Studies (UDS), LCPS Proprietors and School Heads, LFPS Teachers, and Parents.
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
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Deliver business-critical projects within the health technology portfolio including health and fitness data quality and analysis, offline health data collection, emergent health data technologies analysis and discovery, survey design and management, health research support, and Program health data initiatives.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
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The Role of an Event Sales Manager is to Dream Big and to Chase that Dream! The Event Sales Manager is responsible for both inbound and outbound sales, as well as meeting/exceeding event sales goals.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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At least 1 years of relevant experience with big data technologies including:/ Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
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Reporting to the Data Lab Data Science Lead, with a dotted line to a Senior Scientist in Land & Carbon Lab, you will contribute to the research, innovation, implementation and development of new data analysis technologies that leverage artificial intelligence to detect and map crop-field boundaries and identify crop-types and related features with satellite data.
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big data jobs Title: data Company: Accenture Contractor Jobs in Bethesda, MD
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