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Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention strategies Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
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The Data Science team within the Buy Technology organization supports automation and data integration initiatives at Nielsen. These responsibilities include developing and implementing production solutions that leverage Machine Learning, Natural Language Processing, Entity Resolution and big data solutions.
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As a member of the TMW Center’s wearable team, the Data Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm, hardware and firmware pieces together.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Subject matter expertise in cloud services and/or working with ecosystem partners in the cloud infrastructure, data, AI and machine learning, security, SaaS applications, and middleware services are positives but not requirements for this role.
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Data Integration: Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data. Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
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Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development.
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Using innovative technology, data and marketing products, best-in-class learning and support services, and high-quality lead generation programs, Realogy fuels the productivity of independent sales agents, helping them build stronger businesses and best serve today’s consumers.
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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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Hands-on experience with SAP SuccessFactors implementations, including data migration, integration, and system testing. Provide expertise in data migration, integration, and system testing for SAP SuccessFactors implementations.
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Emerging Technologies In AI, Machine Learning, Predictive Analytics, Blockchain And Decentralized Finance To Elevate Dozens Of Products And Services Which Millions Of Customers Use. As a Senior Data Engineer, You Will.
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Experience with data integration tools like DataStage, Talend, Azure Data Factory, or SQL Server Integration Services. Experience in a Technical Sales/Solution Consultant/Sales Engineer role or experience work with data governance team (or data scientist) in a business environment.
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Lead cross-functional teams when architecting and implementing cloud solutions, automating cloud operations / deployment, programming, data platforms, machine learning (ML)/artificial intelligence (AI), cloud integration, and mobile solutions.
$175,000 - $325,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience providing a breadth of architecture leadership around Modern Data Platforms, Cloud Analytics, Visualization, Data Integration, Data Science, Machine Learning, and Data Governance, to include experience working with vendors such as AWS, Microsoft, IBM, Google, Snowflake, Denodo, Talend, Informatica, Collibra, Alation, Tableau.
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data learning integration jobs in River Forest, IL
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