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Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets. Strong knowledge of data mining, statistical modeling, and machine learning algorithms.
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Experience in DevOps, CI/CD integration, data modeling and mining, large-scale enterprise MDM implementation, HL7 messaging standard (version 2. Should have an in-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
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Utilizing Python machine learning, R statistical modeling, data mining, data warehousing techniques, schema design skills and working with AWS cloud services with specific focus on data tier.
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We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. We operate through four global businesses: Infrastructure; Nuclear, Security & Environmental; Energy; and Mining & Metals.
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Intermediate or expert in one or more of image processing algorithms, machine learning, data mining, pattern matching and parallel processing using high performance computing paradigms such as GPGPU. Able to extend and improve existing algorithms to improve facial, speech, vision and gesture recognition technologies for better accuracy, robustness and ease of use.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with three years of industry experience Or an MS with at least five years of industry or research experience in the field.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Experience in data mining or machine learning using tools such as Hadoop, Spark and/or Tensorflow etc. Learn and gain a deep understanding of PIG/Oozie/Storm/Spark/Tensorflow, data extraction, model training, evaluation, and serving etc.
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Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services. Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark.
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The Data Management Analyst performs support for the day-to-day operations in setting up accurate and timely security master reference data for all investment products. The Analyst should be familiar with system architecture, data flow, and workflow to support the Security Master.
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Our offerings include, amongst others, trading, lending, strategic advisory services, institutional-grade investment solutions across passive, active and venture strategies, proprietary bitcoin mining and hosting services, network validator services, and the development of enterprise custodial technology.
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The team’s first two initiatives—mining tools and a self-custody wallet, Bitkey—aim to decentralize access for builders, increase network resiliency, and make everyday use of bitcoin safe and easy.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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data mining jobs Title: financial analyst Company: Abbott in New York, NY
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