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Manage matters within Cardinal Health's internally hosted E-Discovery platform including processing, data culling, email threading, predictive analytics and workflows, tagging layout design and implementation, custom field creation, batch creation, search creation, production sweeps and QC, and production creation and transfer all with an eye toward best practices.
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Develop data warehouse process models, including sourcing, loading, transformation, and extraction. Perform system analysis, data analysis and programming, using a variety of computer languages including SQL, PLSQL, and Python.
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Implementing and managing ElasticSearch environments including designing and optimizing search indices, ensuring data integrity, and supporting scalable, high-performance data retrieval.
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Our Cross Quality and Risk Management team is made up of four teams within our One Firm Risk Organization: Bankruptcy Consultations and Facilitation, Adverse Data Search, Risk Management Administration and Products teams.
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Search and understand metadata about various data sources and metrics. We do this all on a native Android application, leveraging numerous Enterprise systems and APIs to provide rich data through a consistent and user-first designed interface.
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Understand, embrace and leverage our full suite of product solutions (Promotions, Sponsored Search, Social Media, Digital Media, Digital OOH, Data, etc.) Passion for selling and creating value for customers, deep understanding of industry level data media buying, and client ROI.
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Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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Experience with graph databases such as Neptune, search engines like Opensearch, managing data in a Spark data lake, and extensive experience with MPP data warehouses such as Redshift, and AWS.
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Learning, teamwork, partnering with stakeholders, product ownership, working with very large data, designs, technical expertise and user experience are all aspects where you could make an impact or further develop your skills Our technology stack consists of Java, AngularJS, React, BPMNs, RESTful web services, Elastic Search, Graph and DB2 database, Slang (proprietary scripting language), industry tools integration API’s.
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We are seeking an intern to aid us in auditing, measuring, reporting, and improving data quality of indexed records. Successful interns in the past have come from varying fields of study including Statistics, Computer Science, English, Psychology, Economics, Operations Research, and Linguistics.
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Provide direction and leadership on MEP scope(s) on data center project. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Big-D Construction.
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Proven knowledge of tools associated with creative design, digital marketing, and performance analytics, such as: MS Office WordPress or similar website management tool Google Analytics and Search Console SEO and ranking tools such as Semrush Email marketing tools Social media platforms Adobe Creative Cloud.
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Depending on business area, demonstrated experience of building Data pipeline: Data Exchange, Cleansing, Validation, Standardization, Search and Ranking based on Data Science.
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