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Minimum of five (5) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
$135,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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As an independent contributor, this position should be able to develop and support Microsoft Fabric initiatives using Microsoft tools such as Fabric, Synapse, Data Lake Gen2, Power BI, Tableau, SSRS and SSAS. This position will be responsible for design, development, and support of data solutions, will work closely with team members and clients and provide analytical insights.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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We seek a talented computational scientist to combine multi-modal data (genetics, omics, imaging, EHR) to enable the development of new therapeutics. Expertise in analysis of high-dimensional molecular data, such as single cell, spatial omics, CyTOF, CRISPR-Seq data and their applications.
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The Management Information Systems (MIS) department in the Fowler College of Business at San Diego State University (SDSU) invites applications for a tenure-track position in Data Science at the assistant professor level.
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Familiar with polymers, dielectric materials characterization, and S parametersExperience with the following machines: DMA, DSC, TMA, TGA, Instron/DIC and Split Hopkinson Pressure barData analysis and troubleshooting any of the listed machineswork on material characterization, data analysis, and share data with the teamObtain material information needed for Finite Element Analysis (FEA) simulations.
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Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software. Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies.
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This outstanding leader, and data scientist will be a member of Neuroscience Data Science and Digital Health's Digital and AI measures team, working to optimize the precision measurement strategy for our drug development pipelines in Neuropsychiatry.
$203,550 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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GXP commercial software, GXP Xplorer, GXP WebView, GXP Fusion, SOCET GXP, GXP InMotion, and SOCET SET provide customers with comprehensive image and video analysis, data management and geospatial production capabilities, and state-of-the-art sensor-data processing and analytics technologies, providing compact and scalable solutions to challenging problems in areas of video analytics, sensor data processing, computer vision, and machine learning.
$156,860 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop services to assist patrons with the discovery, access, and use of government data such as census information and demographic data (e.g. National Justice Database, Bureau of Justice Statistics, National Transit Database.
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Johnson & Johnson Innovative Medicine is currently seeking a Director, R&D Neuroscience Data Science and Digital Health with a strong preference for this individual to be located at one of our sites in Cambridge, MA, Titusville, NJ, 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.
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Proficient in Epic event logging data model (metadata) and certified in EPIC EMR Clarity data warehouse reporting, Cogito Reporting workbench, and Cogito Radar applications, with advanced expertise in EPIC data and EPIC Clarity Data Model.
$146,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ensures teams embrace GxP, IT Compliance, IT Security, SOX, data privacy, and other risk management considerations, and that they are embedded in projects and operations. Deploys and supports capabilities such as: customer relationship management, medical information management, marketing campaign management, omnichannel, master data management, data analytics, and transparency reporting.
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Demonstrated experience with processing and analyzing omics data (such as metabolomics, proteomics etc.) Must have experience using metabolomics or proteomics data to do formulations. Effectively lead project teams, internally or with CROs as required, including review of experimental designs, robust data analysis, troubleshooting, and schedule and resource management.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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data job Company: Kimpton in San Diego, CA
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4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
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The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
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Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.