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Advanced knowledge of Statistical Methods for model building, Machine Learning, and Big Data. Excellent data manipulation skills on large data sets with ability to source data from Oracle / SQL.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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Develop and maintain data pipelines using Apache Spark for big data processing. Knowledge of data serialization formats and techniques. Implement and manage data publishing and consumption using Kafka.
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Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store. As a Principal Data Engineer, you will work closely with your team to lead and guide projects to success.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Proficiency in data manipulation and analytics tools such as Excel, SQL, Python, R, SAS, MicroStrategy, Tableau, Spotfire with familiarity of emerging Analytics / Data Science capabilities (AI, ML, LLM.
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Defines data migration strategies, including data extraction, transformation, and loading (CDC) processes. This person will play a key role in guiding our clients through the modernization process, leveraging your expertise in mainframe systems, AWS cloud services, application/data separation, and modernization tools.
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Implement Data Quality frameworks, metadata management solutions and data governance solutions. Responsible for working with business leadership and leaders within Data and Analytics Engineering to define and drive the implementation of overarching data governance strategy and architecture that will align organization's Chief Data Office's vision to manage ADP's data.
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Prior experience in design, conduct and oversight of real-world evidence studies ranging from protocol writing to project management oversight and data interpretation and communication. Solid understanding of the cross-functional drug development lifecycle and processes (Business Development, Clinical Trial Design, Conduct & Endpoint Selection, Clinical Operations, Data Management, Biostatistics, and Regulatory.
$190,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies.
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The role leads the US TA insights team across all aspects of identifying key business questions (KBQs), leading the development and execution of an Integrated Insights Plan (IIP) with its various components such as Primary Market Research (PMR), Forecasting (FC), Business Analytics (BA), data strategy, human insights (behavioral science-led) and Competitive Intelligence (CI) in collaboration with internal partners and external vendors.
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We are leaders in managing data using the latest cloud information management and big data technologies. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management.
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In collaboration with MA, Clinical Statistics, Data Sciences, Statistical Programming and other stakeholders to evaluate existing databases, both clinical studies and real-world databases, conduct feasibility assessment to identify fit-for-purpose data sources to address research questions, and develop detailed and actionable analysis plans for evidence generation to deliver high quality, patient-centric evidence and insights to drive decisions.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Patina Restaurant Group is a leader in the premium segment of the restaurant and catering industry, operating restaurants and managing catering and food service operations at high-profile venues including, Lincoln Center, Walt Disney World®, Disneyland®, the Empire State Building, Grand Central Station, and The Metropolitan Opera.
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Working knowledge of Nielsen/IRI/Circana data sets. Be able to cut through the data clutter and deliver unique insights to help drive our growth agenda. Translate data and information into actionable insights and business recommendations utilizing best in class “story telling” and engaging communication.
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Develop market views via data collection and market analysis by key sectors of interest, ranging from production agriculture to agribusiness and the timberland investment space. Collect, analyze, and interpret economic/market data relevant to the agricultural sector.
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big data jobs Title: hadoop in Whippany, NJ
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