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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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AI Implementation: Own the integration of AI technologies into HR systems and processes, including but not limited to recruitment, learning and development, and employee support services.
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If your career has led you to tackle problems around big data, data science or machine learning, and you re ready to lend your skills to the fight against cancer, a job working on Lens at Tempus may be what you ve been looking for.
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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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Preferred areas of research focus include data integration, data quality, clinical informatics, and areas at the intersection of data, clinical expertise and computational methods.
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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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Experience in any IT Data disciplines such as Data Warehousing, ETL/Integration, Data Visualization, Machine Learning, statistical analysis, predictive modeling. Understanding of any IT Data discipline in either/or Data Warehousing, ETL/Integration, Data Visualization, Machine Learning and MS technologies.
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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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data learning integration jobs in Chicago, IL
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