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3-5 years of being in a Data Engineering role manipulating, processing, and extracting value from large datasets. High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. As the Scientist, Data Science, you will develop analytical experiments in a methodical manner and regularly evaluate alternate models to support strategic initiatives and ongoing business processes.
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The Sr. IA Developer will also participate in POC’s, innovation efforts, and complex design and development of end-to-end process optimization solutions incorporating the latest technologies available in UiPath and adjacent tools, including Artificial Intelligence, Large Language Models, Intelligent Document Processing, Communications Mining, and others.
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The Genomics Data Analyst will assist the Reporting Department with the analysis of next-generation sequencing (NGS), Sanger, MLPA, and other types of molecular genetics data. Review genomics data from NGS, Sanger, qPCR, repeat-primed PCR, and MLPA assays to facilitate high quality testing.
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Assist with the preparation of technical project documents, including, but not limited to: writing, word processing, building tables and spreadsheets, tabulating and manipulating data, producing hard copy documents, completing air and erosion control engineering calculations commensurate with the candidate’s background.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Technical expertise with data models , data mining , and segmentation techniques. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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The Senior Occupancy Planner provides space planning, data mining, reporting, and interpretation of space planning metrics for financial services client's needs. Responsible for reviewing and maintaining occupancy data within the system of record.
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Experience on large scale data processing is a MUST. Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
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NET based applications, the organization's databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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NET based applications, client databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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data mining scientist processing jobs in Atlanta, GA
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