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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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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: 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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BIG Data: Experience with distributed systems (Spark, Hadoop) is a plus. 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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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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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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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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The ideal candidate will have extensive experience in MS SQL Server PL/SQL Medidata Rave RAVE Rave Custom Functions Rave Data Model and Rave Integration. Required skills : MS SQLServer, PL/SQL Medidata Rave, Rave Custom Functions, Rave Data Model and Rave Integration.
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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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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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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Demonstrate a proven track record of efficiently collating, analyzing, visualizing, interpreting and communicating complex data sets using a repertoire of digital tools.
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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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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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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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Strong theoretical background in electrochemistry with proven ability to perform data analysis and modeling, track record in novel electrochemical research, demonstrated ability to independently plan and implement research programs.
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spark data jobs Company: Intuit Inc in Cambridge, MA
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