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Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others. Cloud Data Warehouse experience - Redshift/Snowflake. This is an ideal position if you are an experienced data engineer and you want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.
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4+ years of recent professional experience in data science, data mining, data analysis, business process analysis, and/or healthcare analytics. You will architect data science solutions on the cloud using AWS or Azure data science services and participate in the implementation of the solutions.
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MarketBridge is looking for a Data Science Engineer to support our Marketing Effectiveness solution. We solve the toughest B2C and B2B marketing and sales challenges using quantitative, reproducible methods - an approach we call Go-to-Market® Science.
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Review organizational programs, documents, reports, and data for policy implications and impacts on the USMS, districts, and the federal detention management system and assist the BIC with reconciling conflicts between policies and program goals.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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Experience with Informatica Tools Suite (EDC, Axon, IDQ) Data Management, and/or Data Governance Solution Architecture. Experience with data management, data lakes, data warehouses and specifically DataBricks.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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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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Job ResponsibilitiesIdentify, onboard, and offboard design resources in coordination with department leadership (as needed to support project execution)Lead data center core and shell due diligence and design projects (including civil, structural, mechanical, electrical, plumbing, security, and fire protection for greenfield and add/move/change projects) from start to finish, ensuring budget/schedule adherence, satisfaction of design requirements, and repeatable quality.
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Possess a working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Title: data science Company: Edf Renewables North America in Arlington, VA
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