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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Identify and interface with regional and national HEOR & RWE experts and organizations, profile data sources and organizations who conduct real world outcomes research as they relate to Eisai's products and therapeutic areas.
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Although they are not quite there yet, this firm has developed a structure that enables it to base the bulk of its personnel and resources in New Jersey, and have a small New York space from which to handle the 'big city' work.
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Works in tandem with the Director of Institutional Effectiveness and Assessment, the Assessment Information Systems Manager, and the Assessment Specialist to use evaluation and assessment software (e.g., Examsoft, NBME Proctor, Leo, LCME Curriculum Inventory Portal) to support data collection and run reports on medical school courses, programs, curriculum phases, exam results, course grades, and clinical rotations.
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At least 2 years of experience in big data technologies. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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Experience/interest in analysis of behavioral and neuroimaging data using analysis software, for example, R, FSL, Freesurfer, Python. Review information and double-check all fields containing information that the system parsed - the software is intelligent, but you need to verify that the data is accurate.
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big data jobs Title: hadoop Company: At T in Roseland, NJ
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