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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Collaborate with academic partners at other institutions and industry partners in biotech, health data, and big tech. Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science.
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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As a member of the Risk & Regulatory Advisory team, you will advise financial institutions on a broad range of credit risk management topics including, organization and governance; credit process optimization; risk rating model design, build and implementation; and Current Expected Credit Losses (CECL) process and tools.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Equipment:Varian Trilogy, Phillips Big Bore 16-slice CT simulator, GammaMed multichannel HDR afterloader, Eclipse planning system and ARIA electronic record and dosimetry services. Equipment:Varian Trilogy, Phillips Big Bore 16-slice CT simulator, GammaMed multichannel HDR afterloader, Eclipse planning system and ARIA electronic record and dosimetry services.
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Hands-on knowledge and at least 3 years’ experience of designing, curating, and wrangling data in database/data lake solutions such as RDBMS, Snowflake, Hadoop, Azure Data Lake Storage, etc.
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We are looking for a senior Python software developer to work in our Agile engineering team working on new features and improvements to our customer integration system, which comprises primarily of Python code deployed into Microsoft azure functions, Azure SQL Database, Azure API management, with some Azure Logic Apps, and Azure data factory, deployed using Azure DevOps CI/CD pipelines.
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Collects and reports data, as required and work with team leader, data analyst and other SOS teams to use data to inform future care delivery; Licensed social worker, mental health counselor, therapist in New York State.
$74,984 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Clinical Research Supervisor reports to the Research Administrator, Clinical Trials Manager, Research Vice Chairs and works directly with Principal Investigators within the Department of Obstetrics, Gynecology and Women's Health on the execution of reproductive health research studies, focusing on protocol development and coordination, supervising research/study assistants, and data cleaning and monitoring.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Information Systems, Finance, Economics, Business, Mathematics, Quantitative Finance, or related field of study plus One (1) years of experience in the job offered or as Market Risk, Graduate Assistant, Data Scientist, or related occupation.
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Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Loan IQ data model, Oracle SQL PL SQL, Loan IQ technical skills Loan IQ functional knowledge Stakeholder management skill. Loan IQ data model, Oracle SQL PL SQL, Loan IQ technical skills.
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