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Data Scientist II - Advanced Analytics w/ Novo Nordisk Inc. in Plainsboro, NJ. Work across the CI&A organization, and with stakeholders across the NNI organization to implement advanced data and analytics solutions to critical business questions.
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The DTS Business Process Owner will promote a manufacturing process excellence culture by identifying, developing and implementing program initiatives focused on manufacturing process improvement solutions within the highly integrated platform of SAP S/HANA, SAP-ME, & LIMS. The individual will lead and direct the activities of Process Experts, Super Users, Specialists and Trainers (where they exist) and directly manage DTS process experts and master data stewards.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Implement data integration solutions using Azure Data Factory and Snowflake. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into SQL Server databases.
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Embed machine learning, artificial intelligence and Gen AI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
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Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Provide cross-functional input on integrating HR Technology into the larger Kyowa Kirin digital architecture or solutioning business challenges with support of HR Technology/Data in collab with ICT & Digital Functions.
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The team includes AI/ML engineers, data engineers, architects, and software engineers delivering AI. The ideal candidate is passionate about technology and applying it to solve real world problems by leveraging advanced technologies, particularly in the cloud, including Generative AI (GenAI), natural language processing, machine learning and deep learning.
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We are looking for an Omnichannel Data Scientist to apply strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Development and implementation of comprehensive site investigations by participating in scope of work development, field work, and data analysis to characterize contaminants in sediments, soil, air, surface water, and groundwater.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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big data jobs Title: scientist Company: Brainstation in Skillman, NJ
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