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Deliverables/Outputs: Data tables in the appropriate formats that have been quality assured. The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
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The Senior Manager, HEOR will spearhead the development and execution of HEOR and real-world evidence (RWE) plans, generating data that showcases the economic and humanistic value of Axsome's products.
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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle.
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As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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Understanding of information management principles and practices (i.e. business intelligence, data warehousing, data architecture, data integration, data quality, data governance, data security, master data and meta data.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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Minimum of 2 years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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Conduct Substance Use assessment on public assistance clients to determine severity of substance use, treatment needs, and make treatment referrals under the supervision of a qualified CASAC. Identify reports where clients require reassessment, and take required steps to call client back, and also notify HRA of the need for reassessment via STARS. Meet the department's productivity and quality expectations for completing assessments when QPRs are not available, or when assessments are required.
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data quality jobs Title: data architect Company: Pwc in New York, NY
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