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Master Data Management: Informatica MDM. Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
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Firm Type: Law Firm, Experience: 5 Years, A law firm in Boston, MA, is seeking a highly skilled Data Privacy Attorney to join their team. Proactively drive improvements to the firm’s data privacy compliance posture.
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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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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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Data governance,Data quality,Reporting,Governance risk and compliance grc software. Data governance, Data quality, Reporting, Governance risk and compliance grc software. Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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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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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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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 19 days ago - UpvoteDownvoteShare Job
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Apply your topical knowledge and experience in one or more of the following: Quality, Risk Adjustment, Provider Data, Healthcare Data Interoperability, Value-based Care, Population Health, and/or Clinical Operations/Medical Cost Management to drive data solutions product innovation.
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Prepare, test, and implement post-production changes as per study needs while ensuring data integrity. The EDC Engineer will understand Clinical Data Acquisition Standards Harmonization (CDASH) and Study Data Tabulation Model (SDTM) standards and concepts while considering EDC platform best practices.
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Knowledge of hyper-scale data centers, fiber optic or copper data cabling is a plusRCDD is a plusRevit or AutoCAD is a plusAudio-visual and security competence, consulting and design is a plusOur Flexible & Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered.
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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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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making.
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
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Title: data Company: Crowdstrike in South Boston, MA
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