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Participate in the implementation and maintaining of network security measures, including firewalls, intrusion detection systems, access controls, and encryption, to safeguard sensitive data and ensure compliance with industry standards.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Data Engineering who wishes to take on the challenge of building a world-class data operation.
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PacketFabric Data Center Engineer THE ROLE: As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager.
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Six years of experience as a Statistical Programmer Analyst or in a similar role, using statistical programming language(s) such as R, SAS, Stata, or similar, including the use of software packages for data management and statistical analysis.
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The Department of Psychiatry and Behavioral Sciences within Stanford University is seeking a Precision Psychiatry and Neuroimaging Data Analyst (Research Data Analyst 1) with a focus in mental health to manage and analyze large amounts of functional neuroimaging, behavioral and symptom data for classification and prediction of outcomes in depression, under the direction of Dr. Leanne Williams in the Personalized and Translational Neuroscience Lab, PanLab.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
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Preferred Education, Experience and Skills: in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields. The Position Focus above most accurately describes this role, while the Principal Responsibilities provides general context for all Data Scientist roles at Yale. Principal Responsibilities include function as an embedded Data Scientist within DSS, collaborating across teams to create innovative data linkages that facilitate new research and policy evaluation.
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Center 2 (19050), United States of America, McLean, Virginia Manager, Ontology and Data Modeling- Retail Bank The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Marathon TS has a need for a Sr. Data Engineer to support our government customer located in Albuquerque, NM. The role of the Sr. Data Engineer is collaborate with data scientists, architects, researchers, users, model and sim engineers, user experience designers, software engineers, digitizers, cataloguers, and system administrators to build a system to collect, manage, and convert raw data from the DTRIAC archive into usable information for U.S. deterrent missions.
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Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models. Able to test/troubleshoot new or updated models and systems Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
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New York City (Hybrid On-Site): $163,300 - $186,400 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
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data job Title: big data software engineer Company: Change Healthcare
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