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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
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The Junior Data Scientist position in the Data Services Tribe offers candidates an unparalleled opportunity to support the success of a growing portfolio of data services that offer referential and activity-based data solutions sourced from DTCC's transaction, reference, position and asset servicing data covering all major asset classes.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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Experience using cloud-based large data platforms such as Databricks, Synapse, Data Lakehouse is a plus too. GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Strong expertise in Business Intelligence, Data Warehousing, Data Integration, Data Science, Big Data, or Digital solutions. Some experience in areas of data including Data Quality, Master Data Management, Data Governance, Data Engineering, and advanced analytics.
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Hands-on experience building and optimizing ‘big data’ pipelines, architectures, and data sets is a plus. Data governance,Data quality,Reporting,Governance risk and compliance grc software.
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In-depth knowledge and experience working with common regulatory framework applications related to data security, including HIPAA, HITRUST, - General Data Protection Regulation (GDPR), National Institute of Standards & Technology (NIST) standards, Payment Card Industry Data Security Standard (PCI), and similar constructs are highly desired.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Analyze data and prepare documentation of analyses for financial reporting, tax and other business purposes using various data analysis and visualization tools, including MS Excel, MS Access, MS Power BI, Alteryx and similar tools.
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Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, R and Python.
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Experience using cloud-based large data platforms such as Databricks, Synapse, Data Lakehouse. After that, you will help build new data processing and quantitative tools using Python and a cloud-native, state of the art scalable-computing platform.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Utilize advanced statistical techniques and software (e.g., SAS, R, Python) for data analysis. Analyze RWD from diverse sources such as electronic health records (EHR), claims data, and patient registries.
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big data jobs Company: Massmutual in Boston, Mililani-town, Hawaii
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