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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices, is seeking a Business Analyst, Data Science to contribute to the creation of business and data analyses using technical platforms that enable case teams to efficiently manage and monitor vital information, deadlines, and documents related to their practice, clients, and matters.
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Job Title: Jr. Big Data Engineer (Urgent hiring) We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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The Evidence-to-Impact Collaborative within the Social Science Research Institute at Penn State University, University Park, is seeking applicants to direct the PSU Administrative Data Accelerator.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Johnson & Johnson Innovative Medicine is currently seeking an Associate Director, Data Science - Neuroscience Discovery with a strong preference for this individual to be located at one of our sites in Titusville, NJ, Cambridge, MA, or La Jolla, CA. (Remote work options within the US may be considered on a case-by-case basis and if approved by the company.
$203,550 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) You will be expected to actively contribute to the cloud and big data community at Slalom and drive new capabilities forward.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Big Data Technologies: Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Master’s degree in computer science, Computational Linguistics, or related field preferred. Bachelor’s degree in computer science, Computational Linguistics, or related field plus 1-3 years’ professional experience.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Areas of research and development include the application of data science (Natural Language Processing/Machine Learning) to problems in educational measurement and test development such as technology assisted text scoring and automated item generation, modeling of process data, simulations and serious games, and applied collaborative research at the intersection between data science, psychometrics, and measurement science in education and credentialing of healthcare professionals.
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Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Implement advanced data governance strategies, including metadata management, data lineage tracking with tools like Open Lineage, and comprehensive data cataloging using Datahub.
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big data science jobs Title: data analyst Company: The Contingent Plan in Elkins Park, PA
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