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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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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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Biological knowledge in one or more areas of inflammation and fibrosis (IBD, chronic liver disorders, chronic inflammatory indications in dermatology and rheumatology) Demonstrated experience in large scale multi-omics (e.g. bulk or single-cell, spatial sequencing, proteomics, epigenetics, and more), multi-modal data integration, network analysis, and meta-analyses.
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Data Integration: Integrate data from various sources into Power BI, ensuring data quality and consistency for accurate reporting. Performance Optimization: Optimize Power BI reports and data models for performance, ensuring quick and efficient access to insights.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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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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This is part of a big healthcare system with 1200 doctors affiliated with a top-ranked medical center one of the major teaching hospitals of Harvard Medical School. Home to world-class sports (Patriots, Celtics, Red Sox and Bruins) and an entertainment district offering unbeatable live theater and music, you will have many exciting ways to spend your time.
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Pembroke is a historic town of 18,000 located midway between downtown Boston and Cape Cod. With several ponds, streams and marshes, local recreation is abundant with beautiful trails for walking and biking, boating, fishing and more readily available.
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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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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Experience working with and reporting on syndicated prescription data, field force execution, and related national Wholesaler data sets (e.g. IQVIA, Veeva CRM, 852/867, HUB, SP Dispense) Advanced Excel skills required (advanced lookup functions, pivot-tables, and data management.
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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.
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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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Background in data mining and statistical analysis (e.g., SAS, SPSS, Stata, Python, R, or MATLAB) Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.
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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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big data jobs Title: developer in Boston, CA, Germany
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