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Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks.
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Data Extraction and Transformation: Design, develop, and tailor data pipelines from multiple sources and domains, including digital marketing, retail point-of-sale, shipments, financial, economic, and geospatial data, to evaluate a variety of brand engagement metrics and purchasing trends.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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At least 2 years of experience in Cyber Operations, Data Loss Prevention (DLP), Security Operations Center, or Insider Threat. You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
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Our client The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency.
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Oliver Inc. is looking for an experienced, and accurate SQF Practitioner/Quality Technician to join our team. The ideal candidate will work within the manufacturing plant and be responsible for monitoring product quality throughout the manufacturing folding-carton process, by applying the quality and safety plan for each specific department (Press Room, Die Cutting, Folding Gluing.
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United Network for Organ Sharing (UNOS) is seeking an Associate Data Scientist with a passion for developing data driven products to advance the field of Transplantation. Collaborate with software development, DevOps, and Data Engineering teams for model training and deployment.
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Recent experience working with data-driven analytical methodologies for industrial quality applications – especially Statistical Process Control [SPC], Six Sigma, Process Capability (Cp, CpK), and/or Process Performance (Pp, PpK) Analysis.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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The Massey Cancer Center has an exciting opportunity for an Assistant Director, Clinical Research, Quality Assurance and Compliance to join our team! Experience 2-5 Years' experience as a Clinical Research Associate, Clinical Research Coordinator, Clinical Research Nurse Coordinator and proven experience as an Lead Auditor.
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We are seeking capable, qualified, and versatile Data Scientists to help lead the development and delivery of high-quality predictive modelling solutions. Familiarity with RESTful APIs, web scraping, and processing unstructured data.
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A Certified Registered Nurse Anesthetist (CRNA) in an advanced practice registered nurse (APRN) who practices both autonomously and in collaboration with a variety of health providers on the interprofessional team to deliver high-quality, holistic, evidence-based anesthesia and pain care services.
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Analyze survey reports, GIS data, maps, drawings, blueprints, aerial photography and other topographical or geologic data to plan projects. The successful candidate will be well-versed across the water resources discipline with demonstrated project management experience in MS4 Program Plans, TMDL Action Plans and Implementation, Erosion and Sediment Control (ESC) and Stormwater Pollution Prevention Plan (SWPPP) Inspections, MS4 outfall inventory and IDDE, BMP inspections, and MS4 compliance.
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data quality jobs Title: data quality in Richmond, VA
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